45f27df49ba3d0f90fc16d7320986447492cf6e2,scipy/spatial/kdtree.py,KDTree,query,#KDTree#Any#Any#Any#Any#Any#,256

Before Change

            inds = super().query_ball_point(x, distance_upper_bound, p, eps)

            if isinstance(inds, list):
                d = list(minkowski_distance(x, self.data[inds], p=p))
                return d, inds

            d = np.empty_like(inds)
            with np.nditer([inds], flags=["refs_ok", "multi_index"]) as it:

After Change

                return inds_to_hits(x, inds)

            dists = np.empty_like(inds)
            for idx in np.ndindex(inds.shape):
                dists[idx], inds[idx] = inds_to_hits(x[idx], inds[idx])

            return dists, inds

        d, i = super().query(x, k, eps, p, distance_upper_bound)
        if isinstance(i, int):

Instances