}
	return loi, nil
}

func maxKeysPlusOne(maxKeys int, addOne bool) int {
	if maxKeys < 0 || maxKeys > maxObjectList {
		maxKeys = maxObjectList
	}
	if addOne {
		maxKeys++
	}
	return maxKeys
}

func (z *erasureServerPools) listObjectsGeneric(ctx context.Context, bucket, prefix, marker, delimiter string, maxKeys int, v1 bool) (loi ListObjectsInfo, err error) {
	opts := listPathOptions{

}

// return URL for listing objects in the bucket with V1 legacy API.
func getListObjectsV1URL(endPoint, bucketName, prefix, maxKeys, encodingType string) string {
	queryValue := url.Values{}
	if maxKeys != "" {
		queryValue.Set("max-keys", maxKeys)
	}
	if encodingType != "" {
		queryValue.Set("encoding-type", encodingType)
	}
	return makeTestTargetURL(endPoint, bucketName, prefix, queryValue)

					testCase.prefix, "marker:", testCase.marker, "delimiter:",
					testCase.delimiter, "maxkeys:", testCase.maxKeys)

				resultV, err = obj.ListObjectVersions(context.Background(), testCase.bucketName,
					testCase.prefix, testCase.marker, "", testCase.delimiter, testCase.maxKeys)
			} else {
				t.Log("ListObjects, bucket:", testCase.bucketName, "prefix:",

			BitrotChecksumAlgo: HighwayHash,
			ErasureDist:        make([]uint8, len(fi.Erasure.Distribution)),
			PartNumbers:        make([]int, len(fi.Parts)),
			PartETags:          nil,
			PartSizes:          make([]int64, len(fi.Parts)),
			PartActualSizes:    make([]int64, len(fi.Parts)),
			MetaSys:            make(map[string][]byte),
			MetaUser:           make(map[string]string, len(fi.Metadata)),
		}

func newBatchJobPool(ctx context.Context, o ObjectLayer, workers int) *BatchJobPool {
	jpool := &BatchJobPool{
		ctx:          ctx,
		objLayer:     o,
		jobCh:        make(chan *BatchJobRequest, 10000),
		workerKillCh: make(chan struct{}, workers),
		jobCancelers: make(map[string]context.CancelFunc),
	}
	jpool.ResizeWorkers(workers)

	randomWait := func() time.Duration {

//       .Attr("N: int >= 2")
//       .Attr("T: type");
// that defines two inputs, "concat_dim" and "values" (in that order).
// You must use TF_AddInput() for the first input (since it takes a
// single tensor), and TF_AddInputList() for the second input (since
// it takes a list, even if you were to pass a list with a single
// tensor), as in:
//   TF_OperationDescription* desc = TF_NewOperation(graph, "Concat", "c");

	metadataArray := make([]*xlMetaV2, len(rawFileInfos))
	metaFileInfos := make([]FileInfo, len(rawFileInfos))
	metadataShallowVersions := make([][]xlMetaV2ShallowVersion, len(rawFileInfos))
	var v2bufs [][]byte
	if !readData {
		v2bufs = make([][]byte, len(rawFileInfos))
	}

	// Read `xl.meta` in parallel across disks.

		return read, io.EOF
	}

	return read, nil
}

func TestPartialReadEOF(t *testing.T) {
	src := make([]byte, 10)
	eofR := &eofReader{buf: src}
	r := NewReader(eofR)

	// Start by reading 5 of the 10 available bytes.
	dest := make([]byte, 5)
	read, err := r.Read(dest)
	if err != nil {
		t.Fatalf("unexpected error: %v", err)
	}
	if n := len(dest); read != n {

build:windows --copt=-D_ENABLE_EXTENDED_ALIGNED_STORAGE
build:windows --host_copt=-D_ENABLE_EXTENDED_ALIGNED_STORAGE

# Enable the runfiles symlink tree on Windows. This makes it possible to build
# the pip package on Windows without an intermediate data-file archive, as the
# build_pip_package script in its current form (as of Aug 2023) uses the

// The same dwarf.StructType pointer will always get the same tag.
var anonymousStructTag = make(map[*dwarf.StructType]string)

func (c *typeConv) Init(ptrSize, intSize int64) {
	c.ptrSize = ptrSize
	c.intSize = intSize
	c.m = make(map[string]*Type)
	c.ptrs = make(map[string][]*Type)
	c.getTypeIDs = make(map[string]bool)
	c.incompleteStructs = make(map[string]bool)
	c.bool = c.Ident("bool")
	c.byte = c.Ident("byte")