示例#1
0
    def test_normalisations_complex(self):
        log = logging.getLogger('TestZern.test_normalisations_complex')
        n_beta = 6
        L, K = 400, 393

        # polar grid
        pol = CZern(n_beta)
        fitBeta = FitZern(pol, L, K)
        t1 = time()
        pol.make_pol_grid(fitBeta.rho_j, fitBeta.theta_i)
        t2 = time()
        log.debug('make pol grid {:.6f}'.format(t2 - t1))

        # cartesian grid
        cart = CZern(n_beta)
        dd = np.linspace(-1.0, 1.0, max(L, K))
        xx, yy = np.meshgrid(dd, dd)
        t1 = time()
        cart.make_cart_grid(xx, yy)
        t2 = time()
        log.debug('make cart grid {:.6f}'.format(t2 - t1))

        smap = np.isfinite(cart.eval_grid(np.zeros(cart.nk)))
        scale = (1.0 / np.sum(smap))
        log.debug('')
        log.debug('{} modes, {} x {} grid'.format(n_beta, L, K))
        for i in range(pol.nk):
            a = np.zeros(pol.nk)
            a[i] = 1.0
            Phi_a = cart.eval_grid(a)
            for j in range(pol.nk):
                b = np.zeros(pol.nk)
                b[j] = 1.0
                Phi_b = cart.eval_grid(b)
                ip = scale * np.sum(Phi_a[smap] * (Phi_b[smap].conj()))
                if i == j:
                    eip = 1.0
                else:
                    eip = 0.0
                iperr = abs(ip - eip)
                log.debug('<{:02},{:02}> = {:+e} {:+e}'.format(
                    i + 1, j + 1, ip, iperr))
                self.assertTrue(iperr < self.max_ip_err)
示例#2
0
    def test_normalisations_complex(self):
        log = logging.getLogger('TestZern.test_normalisations_complex')
        n_beta = 6
        L, K = 400, 393

        # polar grid
        pol = CZern(n_beta)
        fitBeta = FitZern(pol, L, K)
        t1 = time()
        pol.make_pol_grid(fitBeta.rho_j, fitBeta.theta_i)
        t2 = time()
        log.debug('make pol grid {:.6f}'.format(t2 - t1))

        # cartesian grid
        cart = CZern(n_beta)
        dd = np.linspace(-1.0, 1.0, max(L, K))
        xx, yy = np.meshgrid(dd, dd)
        t1 = time()
        cart.make_cart_grid(xx, yy)
        t2 = time()
        log.debug('make cart grid {:.6f}'.format(t2 - t1))

        smap = np.isfinite(cart.eval_grid(np.zeros(cart.nk)))
        scale = (1.0/np.sum(smap))
        log.debug('')
        log.debug('{} modes, {} x {} grid'.format(n_beta, L, K))
        for i in range(pol.nk):
            a = np.zeros(pol.nk)
            a[i] = 1.0
            Phi_a = cart.eval_grid(a)
            for j in range(pol.nk):
                b = np.zeros(pol.nk)
                b[j] = 1.0
                Phi_b = cart.eval_grid(b)
                ip = scale*np.sum(Phi_a[smap]*(Phi_b[smap].conj()))
                if i == j:
                    eip = 1.0
                else:
                    eip = 0.0
                iperr = abs(ip - eip)
                log.debug('<{:02},{:02}> = {:+e} {:+e}'.format(
                    i + 1, j + 1, ip, iperr))
                self.assertTrue(iperr < self.max_ip_err)