def test2(self): lval, lvec = analyticalLowestEigenvalue(self.x, self.pot) ret = findLowestEigenVector(self.x.copy(), self.pot) self.assertLess(np.abs(ret.eigenval - lval) / np.abs(lval), 1e-2)
def test(self): lval, lvec = analyticalLowestEigenvalue(self.x, self.pot) ret = self.finder.run(100) self.assertLess(np.abs(ret.eigenval - lval) / np.abs(lval), 1e-2)