b = append(b, crc...)
	if c.Type.Is(ChecksumMultipart) {
		var checksums int
		if c.WantParts > 0 && !c.Type.Is(ChecksumIncludesMultipart) {
			checksums = c.WantParts
		}
		// Ensure we don't divide by 0:
		if c.Type.RawByteLen() == 0 || len(parts)%c.Type.RawByteLen() != 0 {
			hashLogIf(context.Background(), fmt.Errorf("internal error: Unexpected checksum length: %d, each checksum %d", len(parts), c.Type.RawByteLen()))

      // non-negative int, we can do long-arithmetic on index * (dataset.length - 1) / scale to get
      // a rounded ratio and a remainder which can be expressed as ints, without risk of overflow:
      int quotient = (int) LongMath.divide(numerator, scale, RoundingMode.DOWN);
      int remainder = (int) (numerator - (long) quotient * scale);
      selectInPlace(quotient, dataset, 0, dataset.length - 1);
      if (remainder == 0) {

  // limit, which is a limit on the number of requests of this
  // priority level that may be exeucting at a given time.  ACS must
  // be a positive number. The server's concurrency limit (SCL) is
  // divided among the concurrency-controlled priority levels in
  // proportion to their assured concurrency shares. This produces
  // the assured concurrency value (ACV) --- the number of requests

  // limit, which is a limit on the number of requests of this
  // priority level that may be exeucting at a given time.  ACS must
  // be a positive number. The server's concurrency limit (SCL) is
  // divided among the concurrency-controlled priority levels in
  // proportion to their assured concurrency shares. This produces
  // the assured concurrency value (ACV) --- the number of requests

 * to that of {@code ConcurrentHashMap} in a reusable form, and extends it for semaphores and
 * read-write locks. Conceptually, lock striping is the technique of dividing a lock into many
 * <i>stripes</i>, increasing the granularity of a single lock and allowing independent operations
 * to lock different stripes and proceed concurrently, instead of creating contention for a single
 * lock.
 *

  public void testBitSize() {
    double fpp = 0.03;
    for (int i = 1; i < 10000; i++) {
      long numBits = BloomFilter.optimalNumOfBits(i, fpp);
      int arraySize = Ints.checkedCast(LongMath.divide(numBits, 64, RoundingMode.CEILING));
      assertEquals(
          arraySize * Long.SIZE,
          BloomFilter.create(Funnels.unencodedCharsFunnel(), i, fpp).bitSize());
    }
  }

	oldCache    dataUsageCache
	newCache    dataUsageCache
	updateCache dataUsageCache

	dataUsageScannerDebug bool
	healObjectSelect      uint32 // Do a heal check on an object once every n cycles. Must divide into healFolderInclude
	scanMode              madmin.HealScanMode

	weSleep    func() bool
	shouldHeal func() bool

	disks       []StorageAPI
	disksQuorum int

 *
 * <ul>
 *   <li>automatic loading of entries into the cache
 *   <li>least-recently-used eviction when a maximum size is exceeded (note that the cache is
 *       divided into segments, each of which does LRU internally)
 *   <li>time-based expiration of entries, measured since last access or last write
 *   <li>keys automatically wrapped in {@code WeakReference}

)

var (
	errArithMismatchedTypes = errors.New("cannot perform arithmetic on mismatched types")
	errArithInvalidOperator = errors.New("invalid arithmetic operator")
	errArithDivideByZero    = errors.New("cannot divide by 0")

	errCmpMismatchedTypes     = errors.New("cannot compare values of different types")
	errCmpInvalidBoolOperator = errors.New("invalid comparison operator for boolean arguments")
)

      int start = index * size;
      int end = min(start + size, list.size());
      return list.subList(start, end);
    }

    @Override
    public int size() {
      return IntMath.divide(list.size(), size, RoundingMode.CEILING);
    }

    @Override
    public boolean isEmpty() {
      return list.isEmpty();
    }
  }