}
	// 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()

	c.incompleteStructs = make(map[string]bool)
	c.bool = c.Ident("bool")
	c.byte = c.Ident("byte")
	c.int8 = c.Ident("int8")
	c.int16 = c.Ident("int16")
	c.int32 = c.Ident("int32")
	c.int64 = c.Ident("int64")
	c.uint8 = c.Ident("uint8")
	c.uint16 = c.Ident("uint16")
	c.uint32 = c.Ident("uint32")
	c.uint64 = c.Ident("uint64")
	c.uintptr = c.Ident("uintptr")
	c.float32 = c.Ident("float32")

	}

	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

  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));