bootstrapPrefix = "bootstrap"
	peerPrefix      = "peer"
	peerPrefixS3    = "peerS3"
	healPrefix      = "heal"
)

func init() {
	// Static check if we exceed 255 handler ids.
	// Extend the type to uint16 when hit.
	if handlerLast > 255 {
		panic(fmt.Sprintf("out of handler IDs. %d > %d", handlerLast, 255))
	}
}

func (h HandlerID) valid() bool {
	return h != handlerInvalid && h < handlerLast
}

		UID uint32
	}

	type Event1 struct {
		ID  uint   `gorm:"primarykey"`
		UID uint32 `gorm:"not null;autoIncrement"`
	}

	type Event2 struct {
		ID  uint   `gorm:"primarykey"`
		UID uint16 `gorm:"not null;autoIncrement"`
	}

	var err error
	err = DB.Migrator().DropTable(&Event{})
	if err != nil {
		t.Errorf("DropTable err:%v", err)
	}

	// create sequence

	switch binary.LittleEndian.Uint16(data[0:2]) {
	case siteResyncMetaFormat:
	default:
		return rs, fmt.Errorf("resyncMeta: unknown format: %d", binary.LittleEndian.Uint16(data[0:2]))
	}
	switch binary.LittleEndian.Uint16(data[2:4]) {
	case siteResyncMetaVersion:
	default:
		return rs, fmt.Errorf("resyncMeta: unknown version: %d", binary.LittleEndian.Uint16(data[2:4]))
	}
	// OK, parse data.

  EXPECT_EQ(TF_BFLOAT16, static_cast<TF_DataType>(tensorflow::DT_BFLOAT16));
  EXPECT_EQ(TF_QINT16, static_cast<TF_DataType>(tensorflow::DT_QINT16));
  EXPECT_EQ(TF_QUINT16, static_cast<TF_DataType>(tensorflow::DT_QUINT16));
  EXPECT_EQ(TF_UINT16, static_cast<TF_DataType>(tensorflow::DT_UINT16));
  EXPECT_EQ(TF_COMPLEX128, static_cast<TF_DataType>(tensorflow::DT_COMPLEX128));

		}
	}
	return
}

// EncodeMsg implements msgp.Encodable
func (z *dataUsageEntry) EncodeMsg(en *msgp.Writer) (err error) {
	// check for omitted fields
	zb0001Len := uint32(10)
	var zb0001Mask uint16 /* 10 bits */
	_ = zb0001Mask
	if z.ReplicationStats == nil {
		zb0001Len--
		zb0001Mask |= 0x80
	}
	if z.AllTierStats == nil {
		zb0001Len--
		zb0001Mask |= 0x100
	}

<pre class="grammar">
uint8       the set of all unsigned  8-bit integers (0 to 255)
uint16      the set of all unsigned 16-bit integers (0 to 65535)
uint32      the set of all unsigned 32-bit integers (0 to 4294967295)
uint64      the set of all unsigned 64-bit integers (0 to 18446744073709551615)

int8        the set of all signed  8-bit integers (-128 to 127)
int16       the set of all signed 16-bit integers (-32768 to 32767)

<pre class="grammar">
uint8       the set of all unsigned  8-bit integers (0 to 255)
uint16      the set of all unsigned 16-bit integers (0 to 65535)
uint32      the set of all unsigned 32-bit integers (0 to 4294967295)
uint64      the set of all unsigned 64-bit integers (0 to 18446744073709551615)

int8        the set of all signed  8-bit integers (-128 to 127)
int16       the set of all signed 16-bit integers (-32768 to 32767)

    case DT_DOUBLE:
    case DT_COMPLEX64:
    case DT_COMPLEX128:
    case DT_RESOURCE:
    case DT_VARIANT:
      return true;
    case DT_QINT8:
    case DT_QINT16:
    case DT_QINT32:
    case DT_QUINT8:
    case DT_QUINT16:
      return tensorflow::flags::Global()
          .enable_quantized_dtypes_training.value();
    default:
      return false;
  }
}

    *   Added 16-bit and 32-bit int support for the built-in op `bitcast`.
    *   Added 8-bit/16-bit/32-bit int/uint support for the built-in op `bitwise_xor`
    *   Added int16 indices support for built-in op `gather` and `gather_nd`.
    *   Added 8-bit/16-bit/32-bit int/uint support for the built-in op `right_shift`
    *   Added reference implementation for 16-bit int unquantized `add`.