633ff8ba668b74844b3ae9915d1b4510d91ea69b,scipy/spatial/spherical_voronoi.py,SphericalVoronoi,__init__,#SphericalVoronoi#Any#Any#Any#,347

Before Change

            self.original_point_array = points
        self.sphere_centroid = np.zeros((3,)) //already at origin, or has been moved to origin
        if not sphere_radius:
            self.estimated_sphere_radius = np.average(scipy.spatial.distance.cdist(self.original_point_array,self.sphere_centroid[np.newaxis,:]))
        else: 
            self.estimated_sphere_radius = sphere_radius //if the radius of the sphere is known, it is pobably best to specify to avoid centroid bias in radius estimation, etc.

    def delaunay_triangulation_spherical_surface(self):

After Change

        if radius:
            self.radius = radius
        else:
            self.radius = np.average(
                scipy.spatial.distance.cdist(self.generators,
                                             np.zeros((3,))[np.newaxis, :]))

    def delaunay_triangulation_spherical_surface(self):
        """Delaunay tessellation of the points on the surface of the sphere. This is simply the 3D convex hull of the points. Returns a shape (N,3,3) array of points representing the vertices of the Delaunay triangulation on the sphere (i.e., N three-dimensional triangle vertex arrays)."""
        hull = scipy.spatial.ConvexHull(self.generators)

Instances