const int64_t* dims, int num_dims) {
  DCHECK(index >= 0 && index < shape_list->num_items);
  TF_ShapeAndType& shape = shape_list->items[index];
  DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
  DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
  shape.num_dims = num_dims;
  shape.dims = new int64_t[num_dims];

				schema.err = fmt.Errorf("failed to parse %s as default value for bool, got error: %v", field.DefaultValue, err)
			}
		}
	case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64:
		field.DataType = Int
		if field.HasDefaultValue && !skipParseDefaultValue {
			if field.DefaultValueInterface, err = strconv.ParseInt(field.DefaultValue, 0, 64); err != nil {

//
//msgp:ignore localLocker
type localLocker struct {
	mutex     sync.Mutex
	waitMutex atomic.Int32
	lockMap   map[string][]lockRequesterInfo
	lockUID   map[string]string // UUID -> resource map.

	// the following are updated on every cleanup defined in lockValidityDuration
	readers         atomic.Int32
	writers         atomic.Int32
	lastCleanup     atomic.Pointer[time.Time]
	locksOverloaded atomic.Int64
}

		References: []Reference{{"Refer", "Profile", "ProfileID", "User", "", false}},
	})
}

func TestSelfReferentialBelongsTo(t *testing.T) {
	type User struct {
		ID        int32 `gorm:"primaryKey"`
		Name      string
		CreatorID *int32
		Creator   *User
	}

	checkStructRelation(t, &User{}, Relation{
		Name: "Creator", Type: schema.BelongsTo, Schema: "User", FieldSchema: "User",

type expiryStats struct {
	missedExpiryTasks      atomic.Int64
	missedFreeVersTasks    atomic.Int64
	missedTierJournalTasks atomic.Int64
	workers                atomic.Int32
}

// MissedTasks returns the number of ILM expiry tasks that were missed since
// there were no available workers.
func (e *expiryStats) MissedTasks() int64 {
	return e.missedExpiryTasks.Load()
}

	globalReplicationStats atomic.Pointer[ReplicationStats]
)

// ReplicationPool describes replication pool
type ReplicationPool struct {
	// atomic ops:
	activeWorkers    int32
	activeLrgWorkers int32
	activeMRFWorkers int32

	objLayer    ObjectLayer
	ctx         context.Context
	priority    string
	maxWorkers  int
	maxLWorkers int
	stats       *ReplicationStats

	if globalVeeamForceSC != "" && s != storageclass.STANDARD && s != storageclass.RRS && isVeeamClient(ctx) {
		return globalVeeamForceSC
	}
	return s
}

type ordered interface {
	~int | ~int8 | ~int16 | ~int32 | ~int64 | ~uint | ~uint8 | ~uint16 | ~uint32 | ~uint64 | ~uintptr | ~float32 | ~float64 | string
}

// mapKeysSorted returns the map keys as a sorted slice.
func mapKeysSorted[Map ~map[K]V, K ordered, V any](m Map) []K {

			},
			Prefixes: []string{"bbb_"},
		},
	}

	testCases := []struct {
		// Inputs to ListObjects.
		bucketName string
		prefix     string
		marker     string
		delimiter  string
		maxKeys    int32
		// Expected output of ListObjects.
		result ListObjectsInfo
		err    error
		// Flag indicating whether the test is expected to pass or not.
		shouldPass bool
	}{

}

// ServerHTTPStats holds all type of http operations performed to/from the server
// including their average execution time.
type ServerHTTPStats struct {
	S3RequestsInQueue      int32              `json:"s3RequestsInQueue"`
	S3RequestsIncoming     uint64             `json:"s3RequestsIncoming"`
	CurrentS3Requests      ServerHTTPAPIStats `json:"currentS3Requests"`

        tf.TensorSpec([], dtypes.int32) ]) def _remote_multiply(a, b): return
        tf.math.multiply(a, b)

        server.register("multiply", _remote_multiply) ```

    *   Example usage to create client: `python client =
        tf.distribute.experimental.rpc.Client.create("grpc", address) a =
        tf.constant(2, dtype=tf.int32) b = tf.constant(3, dtype=tf.int32)