How to use the ivis.data.knn.IndexBuildingError function in ivis

if issparse(X):
        for i in tqdm(range(X.shape[0]), disable=verbose < 1):
            v = X[i].toarray()[0]
            index.add_item(i, v)
    else:
        for i in tqdm(range(X.shape[0]), disable=verbose < 1):
            v = X[i]
            index.add_item(i, v)
    
    try:
        index.build(ntrees)
    except Exception:
        msg = ("Error building Annoy Index. Passing on_disk_build=False"
                " may solve the issue, especially on Windows.")
        raise IndexBuildingError(msg)
    else:
        if not build_index_on_disk:
            index.save(path)
        return index