#!/usr/bin/python # -*- coding: utf-8 -*- from mpmath import mp from mpmath import libmp xrange = libmp.backend.xrange # Attention: # These tests run with 15-20 decimal digits precision. For higher precision the # working precision must be raised. def test_levin_0(): mp.dps = 17 eps = mp.mpf(mp.eps) with mp.extraprec(2 * mp.prec): L = mp.levin(method = "levin", variant = "u") S, s, n = [], 0, 1 while 1: s += mp.one / (n * n) n += 1 S.append(s) v, e = L.update_psum(S) if e < eps: break if n > 1000: raise RuntimeError("iteration limit exceeded") eps = mp.exp(0.9 * mp.log(eps)) err = abs(v - mp.pi ** 2 / 6) assert err < eps w = mp.nsum(lambda n: 1/(n * n), [1, mp.inf], method = "levin", levin_variant = "u") err = abs(v - w) assert err < eps def test_levin_1(): mp.dps = 17 eps = mp.mpf(mp.eps) with mp.extraprec(2 * mp.prec): L = mp.levin(method = "levin", variant = "v") A, n = [], 1 while 1: s = mp.mpf(n) ** (2 + 3j) n += 1 A.append(s) v, e = L.update(A) if e < eps: break if n > 1000: raise RuntimeError("iteration limit exceeded") eps = mp.exp(0.9 * mp.log(eps)) err = abs(v - mp.zeta(-2-3j)) assert err < eps w = mp.nsum(lambda n: n ** (2 + 3j), [1, mp.inf], method = "levin", levin_variant = "v") err = abs(v - w) assert err < eps def test_levin_2(): # [2] A. Sidi - "Pratical Extrapolation Methods" p.373 mp.dps = 17 z=mp.mpf(10) eps = mp.mpf(mp.eps) with mp.extraprec(2 * mp.prec): L = mp.levin(method = "sidi", variant = "t") n = 0 while 1: s = (-1)**n * mp.fac(n) * z ** (-n) v, e = L.step(s) n += 1 if e < eps: break if n > 1000: raise RuntimeError("iteration limit exceeded") eps = mp.exp(0.9 * mp.log(eps)) exact = mp.quad(lambda x: mp.exp(-x)/(1+x/z),[0,mp.inf]) # there is also a symbolic expression for the integral: # exact = z * mp.exp(z) * mp.expint(1,z) err = abs(v - exact) assert err < eps w = mp.nsum(lambda n: (-1) ** n * mp.fac(n) * z ** (-n), [0, mp.inf], method = "sidi", levin_variant = "t") assert err < eps def test_levin_3(): mp.dps = 17 z=mp.mpf(2) eps = mp.mpf(mp.eps) with mp.extraprec(7*mp.prec): # we need copious amount of precision to sum this highly divergent series L = mp.levin(method = "levin", variant = "t") n, s = 0, 0 while 1: s += (-z)**n * mp.fac(4 * n) / (mp.fac(n) * mp.fac(2 * n) * (4 ** n)) n += 1 v, e = L.step_psum(s) if e < eps: break if n > 1000: raise RuntimeError("iteration limit exceeded") eps = mp.exp(0.8 * mp.log(eps)) exact = mp.quad(lambda x: mp.exp( -x * x / 2 - z * x ** 4), [0,mp.inf]) * 2 / mp.sqrt(2 * mp.pi) # there is also a symbolic expression for the integral: # exact = mp.exp(mp.one / (32 * z)) * mp.besselk(mp.one / 4, mp.one / (32 * z)) / (4 * mp.sqrt(z * mp.pi)) err = abs(v - exact) assert err < eps w = mp.nsum(lambda n: (-z)**n * mp.fac(4 * n) / (mp.fac(n) * mp.fac(2 * n) * (4 ** n)), [0, mp.inf], method = "levin", levin_variant = "t", workprec = 8*mp.prec, steps = [2] + [1 for x in xrange(1000)]) err = abs(v - w) assert err < eps def test_levin_nsum(): mp.dps = 17 with mp.extraprec(mp.prec): z = mp.mpf(10) ** (-10) a = mp.nsum(lambda n: n**(-(1+z)), [1, mp.inf], method = "l") - 1 / z assert abs(a - mp.euler) < 1e-10 eps = mp.exp(0.8 * mp.log(mp.eps)) a = mp.nsum(lambda n: (-1)**(n-1) / n, [1, mp.inf], method = "sidi") assert abs(a - mp.log(2)) < eps z = 2 + 1j f = lambda n: mp.rf(2 / mp.mpf(3), n) * mp.rf(4 / mp.mpf(3), n) * z**n / (mp.rf(1 / mp.mpf(3), n) * mp.fac(n)) v = mp.nsum(f, [0, mp.inf], method = "levin", steps = [10 for x in xrange(1000)]) exact = mp.hyp2f1(2 / mp.mpf(3), 4 / mp.mpf(3), 1 / mp.mpf(3), z) assert abs(exact - v) < eps def test_cohen_alt_0(): mp.dps = 17 AC = mp.cohen_alt() S, s, n = [], 0, 1 while 1: s += -((-1) ** n) * mp.one / (n * n) n += 1 S.append(s) v, e = AC.update_psum(S) if e < mp.eps: break if n > 1000: raise RuntimeError("iteration limit exceeded") eps = mp.exp(0.9 * mp.log(mp.eps)) err = abs(v - mp.pi ** 2 / 12) assert err < eps def test_cohen_alt_1(): mp.dps = 17 A = [] AC = mp.cohen_alt() n = 1 while 1: A.append( mp.loggamma(1 + mp.one / (2 * n - 1))) A.append(-mp.loggamma(1 + mp.one / (2 * n))) n += 1 v, e = AC.update(A) if e < mp.eps: break if n > 1000: raise RuntimeError("iteration limit exceeded") v = mp.exp(v) err = abs(v - 1.06215090557106) assert err < 1e-12