ErrServerNotInitialized: {
		Code:           "XMinioServerNotInitialized",
		Description:    "Server not initialized yet, please try again.",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrIAMNotInitialized: {
		Code:           "XMinioIAMNotInitialized",
		Description:    "IAM sub-system not initialized yet, please try again.",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrBucketMetadataNotInitialized: {

// in-case you wish to clear existing metadata.
func (x *xlMetaV2) UpdateObjectVersion(fi FileInfo) error {
	if fi.VersionID == "" {
		// this means versioning is not yet
		// enabled or suspend i.e all versions
		// are basically default value i.e "null"
		fi.VersionID = nullVersionID
	}

	var uv uuid.UUID
	var err error

#     rbe_linux_cuda_nvcc:            RBE options to build with GPU support using nvcc.
#
# Embedded Linux options (experimental and only tested with TFLite build yet)
#     elinux:          General Embedded Linux options shared by all flavors.
#     elinux_aarch64:  Embedded Linux options for aarch64 (ARM64) CPU support.
#     elinux_armhf:    Embedded Linux options for armhf (ARMv7) CPU support.

// See TF_AddGradientsWithPrefix, which provides a means to specify a custom
// name prefix for operations added to a graph to compute the gradients.
//
// WARNING: This function does not yet support all the gradients that python
// supports. See
// https://www.tensorflow.org/code/tensorflow/cc/gradients/README.md
// for instructions on how to add C++ more gradients.

	letterIdxMax  = 63 / letterIdxBits   // # of letter indices fitting in 63 bits
)

// Random number state.
// We generate random temporary file names so that there's a good
// chance the file doesn't exist yet.
var (
	randN  uint32
	randmu sync.Mutex
)

// Temp files created in default Tmp dir
var globalTestTmpDir = os.TempDir()

// reseed - returns a new seed every time the function is called.

    visibility = ["//visibility:public"],
)

# This flag disables generating tensorflow.lite.python under LiteRT repo.
# Avoid using flag for creating tflite wheels as tensorflow/lite is not yet fully split from tf.
config_setting(
    name = "disable_tf_lite_py",
    define_values = {"disable_tf_lite_py": "true"},
    visibility = ["//visibility:public"],
)

func (r BatchJobReplicateV1) Notify(ctx context.Context, ri *batchJobInfo) error {
	return notifyEndpoint(ctx, ri, r.Flags.Notify.Endpoint, r.Flags.Notify.Token)
}

// ReplicateFromSource - this is not implemented yet where source is 'remote' and target is local.
func (r *BatchJobReplicateV1) ReplicateFromSource(ctx context.Context, api ObjectLayer, core *minio.Core, srcObjInfo ObjectInfo, retry bool) error {
	srcBucket := r.Source.Bucket

			fi.Data = nil
		}

		attemptInline := fi.TransitionStatus == "" && fi.DataDir != "" && len(fi.Parts) == 1
		// Reading data for small objects when
		// - object has not yet transitioned
		// - object has maximum of 1 parts
		if attemptInline {
			inlineBlock := globalStorageClass.InlineBlock()
			if inlineBlock <= 0 {
				inlineBlock = 128 * humanize.KiByte
			}

// -------------------------
// This operation lists in-progress multipart uploads. An in-progress
// multipart upload is a multipart upload that has been initiated,
// using the Initiate Multipart Upload request, but has not yet been
// completed or aborted. This operation returns at most 1,000 multipart
// uploads in the response.
func (api objectAPIHandlers) ListMultipartUploadsHandler(w http.ResponseWriter, r *http.Request) {

		}
	}()

	validResp := 0
	totalResp := 0

	// minDisks value is only to reduce the number of calls
	// to the disks; this value is not accurate because we do
	// not know the storage class of the object yet
	minDisks := 0
	if p := globalStorageClass.GetParityForSC(""); p > -1 {
		minDisks = er.setDriveCount - p
	} else {
		minDisks = er.setDriveCount - er.defaultParityCount
	}