def next(self):
        if self.num_batches >= self.batch_count:
            raise StopIteration()
        else:
            self.last = np.random.random_integers(low=0,
                                                  high=self.num_samples - 1,
                                                  size=(self.batch_size,))
            self.batch_count += 1
            return self.X[self.last, :, :, :], self.y[self.last]
dataset/ETHPy150Open ifp-uiuc/anna/anna/datasets/supervised_dataset.py/DatasetIteratorRandomUniform.next/swapped operands of `>=`