''' Created on 23. okt. 2014 @author: pab ''' import unittest import numpy as np from numpy import exp, Inf from numpy.testing import assert_array_almost_equal from wafo.integrate import gaussq, quadgr, clencurt, romberg class TestIntegrators(unittest.TestCase): def test_clencurt(self): val, err = clencurt(np.exp, 0, 2) assert_array_almost_equal(val, np.expm1(2)) self.assert_(err < 1e-10) def test_romberg(self): tol = 1e-7 q, err = romberg(np.sqrt, 0, 10, 0, abseps=tol) assert_array_almost_equal(q, 2.0/3 * 10**(3./2)) self.assert_(err < tol) class TestGaussq(unittest.TestCase): ''' 1 : p(x) = 1 a =-1, b = 1 Gauss-Legendre 2 : p(x) = exp(-x^2) a =-inf, b = inf Hermite 3 : p(x) = x^alpha*exp(-x) a = 0, b = inf Laguerre 4 : p(x) = (x-a)^alpha*(b-x)^beta a =-1, b = 1 Jacobi 5 : p(x) = 1/sqrt((x-a)*(b-x)), a =-1, b = 1 Chebyshev 1'st kind 6 : p(x) = sqrt((x-a)*(b-x)), a =-1, b = 1 Chebyshev 2'nd kind 7 : p(x) = sqrt((x-a)/(b-x)), a = 0, b = 1 8 : p(x) = 1/sqrt(b-x), a = 0, b = 1 9 : p(x) = sqrt(b-x), a = 0, b = 1 ''' def test_gauss_legendre(self): val, _err = gaussq(exp, 0, 1) assert_array_almost_equal(val, exp(1)-exp(0)) a, b, y = [0, 0], [1, 1], np.array([1., 2.]) val, _err = gaussq(lambda x, y: x * y, a, b, args=(y, )) assert_array_almost_equal(val, 0.5*y) def test_gauss_hermite(self): val, _err = gaussq(lambda x: x, -Inf, Inf, wfun=2) assert_array_almost_equal(val, 0) def test_gauss_laguerre(self): val, _err = gaussq(lambda x: x, 0, Inf, wfun=3, alpha=1) assert_array_almost_equal(val, 2) def test_gauss_jacobi(self): val, _err = gaussq(lambda x: x, -1, 1, wfun=4, alpha=-0.5, beta=-0.5) assert_array_almost_equal(val, 0) def test_gauss_wfun5_6(self): for i in [5, 6]: val, _err = gaussq(lambda x: x, -1, 1, wfun=i) assert_array_almost_equal(val, 0) def test_gauss_wfun7(self): val, _err = gaussq(lambda x: x, 0, 1, wfun=7) assert_array_almost_equal(val, 1.17809725) def test_gauss_wfun8(self): val, _err = gaussq(lambda x: x, 0, 1, wfun=8) assert_array_almost_equal(val, 1.33333333) def test_gauss_wfun9(self): val, _err = gaussq(lambda x: x, 0, 1, wfun=9) assert_array_almost_equal(val, 0.26666667) class TestQuadgr(unittest.TestCase): def test_log(self): Q, err = quadgr(np.log, 0, 1) assert_array_almost_equal(Q, -1) self.assert_(err < 1e-5) def test_exp(self): Q, err = quadgr(np.exp, 0, 9999*1j*np.pi) assert_array_almost_equal(Q, -2.0000000000122662) self.assert_(err < 1.0e-8) def test_integral3(self): tol = 1e-12 Q, err = quadgr(lambda x: np.sqrt(4-x**2), 0, 2, tol) assert_array_almost_equal(Q, np.pi) self.assert_(err < tol) # (3.1415926535897811, 1.5809575870662229e-13) def test_integral4(self): Q, err = quadgr(lambda x: 1./x**0.75, 0, 1) assert_array_almost_equal(Q, 4) self.assert_(err < 1.0e-12) def test_integrand4(self): tol = 1e-10 Q, err = quadgr(lambda x: 1./np.sqrt(1-x**2), -1, 1, tol) assert_array_almost_equal(Q, np.pi) self.assert_(err < tol) # (3.141596056985029, 6.2146261559092864e-06) def test_integrand5(self): tol = 1e-9 Q, err = quadgr(lambda x: np.exp(-x**2), -np.inf, np.inf, tol) assert_array_almost_equal(Q, np.sqrt(np.pi)) self.assert_(err < tol) # (1.7724538509055152, 1.9722334876348668e-11) def test_integrand6(self): tol = 1e-9 Q, err = quadgr(lambda x: np.cos(x) * np.exp(-x), 0, np.inf, tol) assert_array_almost_equal(Q, 0.5) self.assert_(err < tol) # (0.50000000000000044, 7.3296813063450372e-11) if __name__ == "__main__": # import sys;sys.argv = ['', 'Test.testName'] unittest.main()