} else if result.Error != nil {
			tx.AddError(result.Error)
		}

		if tx.Error != nil || int(result.RowsAffected) < batchSize {
			break
		}

		if totalSize > 0 {
			if totalSize <= int(rowsAffected) {
				break
			}
			if totalSize/batchSize == batch {
				batchSize = totalSize % batchSize
			}
		}

		// Optimize for-break
		resultsValue := reflect.Indirect(reflect.ValueOf(dest))

     * @param batchCount the number of entries to return
     * @param batchSize the maximum size of the response buffer
     */
    public Trans2FindNext2(final Configuration config, final int sid, final int resumeKey, final String filename, final int batchCount,
            final int batchSize) {
        super(config, SMB_COM_TRANSACTION2, TRANS2_FIND_NEXT2);
        this.sid = sid;

     * @param batchCount the number of entries to return
     * @param batchSize the maximum size of the response buffer
     */
    public Trans2FindFirst2(final Configuration config, final String filename, final String wildcard, final int searchAttributes,
            final int batchCount, final int batchSize) {
        super(config, SMB_COM_TRANSACTION2, TRANS2_FIND_FIRST2);

}

func (c createG[T]) Create(ctx context.Context, r *T) error {
	return c.g.apply(ctx).Create(r).Error
}

func (c createG[T]) CreateInBatches(ctx context.Context, r *[]T, batchSize int) error {
	return c.g.apply(ctx).CreateInBatches(r, batchSize).Error
}

type chainG[T any] struct {
	execG[T]
}

func (c chainG[T]) getInstance() *DB {
	var r T
	return c.g.apply(context.Background()).Model(r).getInstance()

        String[] botNames;
        if (StringUtil.isBlank(value)) {
            botNames = StringUtil.EMPTY_STRINGS;
        } else {
            botNames = value.split(",");
        }

        final int batchSize = fessConfig.getSearchlogProcessBatchSizeAsInteger();

        final List<SearchLog> searchLogList = new ArrayList<>();
        final Map<String, UserInfo> userInfoMap = new HashMap<>();
        while (!queue.isEmpty()) {

    void testConstructorWithVariousParameters(int sid, int resumeKey, String filename, int batchCount, int batchSize) {
        // Test constructor with various parameter combinations
        trans2FindNext2 = new Trans2FindNext2(config, sid, resumeKey, filename, batchCount, batchSize);

        assertNotNull(trans2FindNext2);

        // Verify parameters are written correctly

	const BatchSize = 250 // We process the objects in batches - 250 is a reasonable default.
	var (
		metadata = make([]map[string]string, 0, BatchSize)
		buckets  = make([]string, 0, BatchSize)
		names    = make([]string, 0, BatchSize)
	)
	for len(objects) > 0 {
		N := min(len(objects), BatchSize)
		batch := objects[:N]

    private final int batchSize = 10;
    private final long batchTimeout = 100;  // 100ms
    
    public void addNotification(WitnessNotification notification) {
        synchronized (pendingNotifications) {
            pendingNotifications.offer(notification);
            
            if (pendingNotifications.size() >= batchSize) {
                processBatch();
            }

	}

	targetUsers := users[3:8]
	for i := 0; i < len(targetUsers); i++ {
		AssertEqual(t, results[i], targetUsers[i])
	}

	var sub1 []User
	// limit < batchSize
	if result := DB.Limit(5).Where("name = ?", users[0].Name).FindInBatches(&sub1, 10, func(tx *gorm.DB, batch int) error {
		return nil
	}); result.Error != nil || result.RowsAffected != 5 {

  EXPECT_TRUE(differencer.Compare(node_in, node_out));
}

TEST(CAPI, TestTensorNonScalarBytesAllocateDelete) {
  const int batch_size = 4;
  const int num_dims = 2;
  int64_t* dims = new int64_t[num_dims];
  int64_t num_elements = 1;
  dims[0] = batch_size;
  dims[1] = 1;
  for (int64_t i = 0; i < num_dims; ++i) {
    num_elements *= dims[i];
  }