b.Write([]byte(","))
		}
	}
	b.Write([]byte("}"))
	return b.Bytes(), nil
}

// Decoder wraps an io.Reader to provide incremental decoding of
// JSON values
type Decoder struct {
	*scanner
	emitDepth     int
	maxDepth      int
	emitKV        bool
	emitRecursive bool
	objectAsKVS   bool

	depth   int
	scratch *scratch
	metaCh  chan *MetaValue
	err     error

			m.ByDisk[name] = disk
			aggr.Merge(&disk)
		}
		m.Aggregated.Disk = &aggr
	}

	if types.Contains(madmin.MetricsScanner) {
		metrics := globalScannerMetrics.report()
		m.Aggregated.Scanner = &metrics
	}
	if types.Contains(madmin.MetricsOS) {
		metrics := globalOSMetrics.report()
		m.Aggregated.OS = &metrics
	}
	if types.Contains(madmin.MetricsBatchJobs) {

		b.lastRuneSize = -1
	}

	return
}

// ReadLine is a low-level line-reading primitive. Most callers should use
// [Reader.ReadBytes]('\n') or [Reader.ReadString]('\n') instead or use a [Scanner].
//
// ReadLine tries to return a single line, not including the end-of-line bytes.
// If the line was too long for the buffer then isPrefix is set and the

	loggerWebhookCollectorPath collectorPath = "/logger/webhook"
	replicationCollectorPath   collectorPath = "/replication"
	notificationCollectorPath  collectorPath = "/notification"
	scannerCollectorPath       collectorPath = "/scanner"
)

const (
	clusterBasePath = "/cluster"
)

type metricsV3Collection struct {
	mgMap       map[collectorPath]*MetricsGroup
	bucketMGMap map[collectorPath]*MetricsGroup

// APIs specific to Eager modes
// -----------------------------------------------------------------------------

// Temporary APIs till we figure out how to create scalar valued Eager
// tensors and how to get value out of eager abstract tensors.
TF_AbstractTensor* TF_CreateAbstractTensorFromEagerTensor(TFE_TensorHandle* t,
                                                          TF_Status* s);

    url: https://github.com/Kong
  - login: codacy
    avatarUrl: https://avatars.githubusercontent.com/u/1834093?v=4
    url: https://github.com/codacy
  - login: scalar
    avatarUrl: https://avatars.githubusercontent.com/u/301879?v=4
    url: https://github.com/scalar
- - login: ObliviousAI
    avatarUrl: https://avatars.githubusercontent.com/u/65656077?v=4
    url: https://github.com/ObliviousAI
- - login: databento

// Abstract interface to a context.
//
// A context is responsible for creating key objects such as Tensors,
// TensorHandles & Operations.
class ImmediateExecutionContext : public AbstractContext {
 public:
  // Optimized scalar creation functions
  virtual AbstractTensorInterface* CreateInt64Scalar(int64_t value) = 0;
  virtual AbstractTensorInterface* CreateUint64Scalar(uint64 value) = 0;

pkg testing, method (*M) Run() int
pkg testing, type M struct

# CL 108030044 text/scanner: provide facility for custom identifiers, Robert Griesemer <******@****.***>
pkg text/scanner, type Scanner struct, IsIdentRune func(int32, int) bool

# CL 130620043 text/template: add back pointer to Nodes for better error generation, Rob Pike <******@****.***>

			oi := ObjectInfo{
				Bucket:    bucket,
				Name:      dobj.ObjectName,
				VersionID: dobj.VersionID,
			}
			traceFn := globalLifecycleSys.trace(oi)
			// Note: NewerNoncurrentVersions action is performed only scanner today
			tags := newLifecycleAuditEvent(lcEventSrc_Scanner, lcEvent).Tags()

			// Send audit for the lifecycle delete operation
			auditLogLifecycle(
				ctx,
				oi,
				ILMExpiry, tags, traceFn)

// Platform-specific implementation to return an unused port. (This should used
// in tests only.)
TF_CAPI_EXPORT int TF_PickUnusedPortOrDie(void);

// Fast path method that makes constructing a single scalar tensor require less
// overhead and copies.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandleFromScalar(
    TF_DataType data_type, void* data, size_t len, TF_Status* status);