}
	// Read header
	switch binary.LittleEndian.Uint16(data[0:2]) {
	case format:
	default:
		return fmt.Errorf("%s: unknown format: %d", ri.JobType, binary.LittleEndian.Uint16(data[0:2]))
	}
	switch binary.LittleEndian.Uint16(data[2:4]) {
	case version:
	default:
		return fmt.Errorf("%s: unknown version: %d", ri.JobType, binary.LittleEndian.Uint16(data[2:4]))
	}

	ri.mu.Lock()
	defer ri.mu.Unlock()

	}

	if bytes.Equal(buf[4:8], []byte("1   ")) {
		// Set as 1,0.
		major, minor = 1, 0
	} else {
		major, minor = binary.LittleEndian.Uint16(buf[4:6]), binary.LittleEndian.Uint16(buf[6:8])
	}
	if major > xlVersionMajor {
		return buf[8:], major, minor, fmt.Errorf("xlMeta: unknown major version %d found", major)
	}

	return buf[8:], major, minor, nil
}

func isXL2V1Format(buf []byte) bool {

		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

	}

	return
}

// EncodeMsg implements msgp.Encodable
func (z *dataUsageEntry) EncodeMsg(en *msgp.Writer) (err error) {
	// check for omitted fields
	zb0001Len := uint32(9)
	var zb0001Mask uint16 /* 9 bits */
	_ = zb0001Mask
	if z.AllTierStats == nil {
		zb0001Len--
		zb0001Mask |= 0x80
	}
	// variable map header, size zb0001Len
	err = en.Append(0x80 | uint8(zb0001Len))
	if err != nil {

				"application/vnd.f-secure.mobile",
				"application/vnd.fdf",
				"application/vnd.fdsn.mseed",
				"application/vnd.fdsn.seed",
				"application/vnd.ffsns",
				"application/vnd.fints",
				"application/vnd.flographit",
				"application/vnd.fluxtime.clip",
				"application/vnd.font-fontforge-sfd",
				"application/vnd.framemaker",
				"application/vnd.frogans.fnc",

  EXPECT_EQ(TF_DOUBLE, static_cast<TF_DataType>(tensorflow::DT_DOUBLE));
  EXPECT_EQ(TF_INT32, static_cast<TF_DataType>(tensorflow::DT_INT32));
  EXPECT_EQ(TF_UINT8, static_cast<TF_DataType>(tensorflow::DT_UINT8));
  EXPECT_EQ(TF_INT16, static_cast<TF_DataType>(tensorflow::DT_INT16));
  EXPECT_EQ(TF_INT8, static_cast<TF_DataType>(tensorflow::DT_INT8));
  EXPECT_EQ(TF_STRING, static_cast<TF_DataType>(tensorflow::DT_STRING));