return e > invalidVersionType && e < lastVersionType
}

// ErasureAlgo defines common type of different erasure algorithms
type ErasureAlgo uint8

// List of currently supported erasure coding algorithms
const (
	invalidErasureAlgo ErasureAlgo = 0
	ReedSolomon        ErasureAlgo = 1
	lastErasureAlgo    ErasureAlgo = 2
)

func (e ErasureAlgo) valid() bool {

s-square:before{content:"\f3af"}.fa-hackerrank:before{content:"\f5f7"}.fa-hamburger:before{content:"\f805"}.fa-hammer:before{content:"\f6e3"}.fa-hamsa:before{content:"\f665"}.fa-hand-holding:before{content:"\f4bd"}.fa-hand-holding-heart:before{content:"\f4be"}.fa-hand-holding-usd:before{content:"\f4c0"}.fa-hand-lizard:before{content:"\f258"}.fa-hand-middle-finger:before{content:"\f806"}.fa-hand-paper:before{content:"\f256"}.fa-hand-peace:before{content:"\f25b"}.fa-hand-point-down:before{content:...

   * This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *
   * The coding pattern above is heavily used in java.util, e.g. in ArrayList. There is a
   * RangeCheckMicroBenchmark in the JDK that was used to test this.
   *

// into smaller bulks if some object names are found to be duplicated in the delete list, splitting
// into smaller bulks will avoid holding twice the write lock of the duplicated object names.
func (er erasureObjects) DeleteObjects(ctx context.Context, bucket string, objects []ObjectToDelete, opts ObjectOptions) ([]DeletedObject, []error) {
	if !opts.NoAuditLog {