99483e3ca1578397e421a5ea8a5f96e937e59af9,pygsp/graphs/graph.py,Graph,estimate_lmax,#Graph#Any#,653

Before Change

            lmax = 2. * np.max(self.d)

        lmax = np.real(lmax)
        self._lmax = lmax.sum()

    def get_edge_list(self):
        r
        Return an edge list, an alternative representation of the graph.

After Change

        except sparse.linalg.ArpackNoConvergence:
            self.logger.warning("Lanczos method did not converge. "
                                "Using an alternative method.")
            if self.lap_type == "normalized":
                lmax = 2  // Spectrum is bounded by [0, 2].
            elif self.lap_type == "combinatorial":
                lmax = 2 * np.max(self.d)
            else:
                raise ValueError("Unknown Laplacian type "
                                 "{}".format(self.lap_type))

        self._lmax = lmax

    def get_edge_list(self):
        r

Instances