39efccc696a1c20745a52cc50935cdc24f92230d,secuml/exp/data/features.py,FeaturesFromExp,get_matrix,#,50

Before Change

        if not sparse:
            iterator = FeaturesFromExp.get_matrix_iterator(features_files,
                                                           num_instances)
            for row in iterator:
                if features is None:
                    features = row
                else:
                    features = np.vstack((features, row))
        else:
            for _, f_path, f_mask in features_files:
                indices = np.where(f_mask)[0]
                matrix = load_npz(f_path)[:, indices]

After Change

        if not sparse:
            iterator = FeaturesFromExp.get_matrix_iterator(features_files,
                                                           num_instances)
            features = np.vstack(tuple(r for r in iterator))
        else:
            features = None
            for _, f_path, f_mask in features_files:
                indices = np.where(f_mask)[0]

Instances