// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when
	// there are lots of buckets with different order of objects in them.
	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	permutes := r.Perm(len(buckets))
	// Add new buckets first

                    | (inBytes[inOff + i * 4 + 2] & 0xff) << 8 | inBytes[inOff + i * 4 + 3] & 0xff;
        }
    }

    /// Spread ints into bytes.
    /**
     * Converts integers to bytes after internal DES processing
     * @param inInts the input integer array
     * @param inOff the offset into the input array

                });
            }

            // Start all threads
            for (Thread t : threads) {
                t.start();
            }

            // Wait for completion
            for (Thread t : threads) {
                t.join();
            }

            // Verify thread safety - no unexpected exceptions

 *       the expected <i>twofold</i> increase to all collision rates. Informally, the "information"
 *       in the hash code should be as evenly "spread out" through the hash code's bits as possible.
 *       The result is that, for example, when choosing a bucket in a hash table of size 2^8,
 *       <i>any</i> eight bits could be consistently used.

 *       the expected <i>twofold</i> increase to all collision rates. Informally, the "information"
 *       in the hash code should be as evenly "spread out" through the hash code's bits as possible.
 *       The result is that, for example, when choosing a bucket in a hash table of size 2^8,
 *       <i>any</i> eight bits could be consistently used.

	// Figure out largest value of total_drives_in_erasure_set which results
	// in least number of total_drives/total_drives_erasure_set ratio.
	prevD := divisibleSize / setCounts[0]
	for _, cnt := range setCounts {
		if divisibleSize%cnt == 0 {
			d := divisibleSize / cnt
			if d <= prevD {
				prevD = d
				setSize = cnt
			}
		}
	}
	return setSize
}

// possibleSetCountsWithSymmetry returns symmetrical setCounts based on the

rollback.
  * <strong>Automated cluster management: </strong>
     * Kubernetes clusters can now span zones within a cloud provider. Pods from a
service will be automatically spread across zones, enabling applications to
tolerate zone failure.
     * Simplified way to run a container on every node (DaemonSet API (Beta) in the
Extensions API group): Kubernetes can schedule a service (such as a logging

}

var errUnreadByte = errors.New("bytes.Buffer: UnreadByte: previous operation was not a successful read")

// UnreadByte unreads the last byte returned by the most recent successful
// read operation that read at least one byte. If a write has happened since
// the last read, if the last read returned an error, or if the read read zero
// bytes, UnreadByte returns an error.
func (b *Buffer) UnreadByte() error {

        assertTrue(parentFileWasFoundOnChild);

        // read projects together
        List<ProjectBuildingResult> results = projectBuilder.build(toRead, false, configuration);
        assertResultShowNoError(results);
        assertEquals(parentPom, findChildProject(results).getParentFile());
        Collections.reverse(toRead);
        results = projectBuilder.build(toRead, false, configuration);
        assertResultShowNoError(results);

                            return -1;
                        }
                        int toRead = Math.min(length, remaining);
                        System.arraycopy(includeContent, index[0], buffer, offset, toRead);
                        index[0] += toRead;
                        return toRead;
                    });
                })) {