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66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
'''
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Created on 23. okt. 2014
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@author: pab
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'''
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import unittest
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import numpy as np
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from numpy import exp, Inf
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from numpy.testing import assert_array_almost_equal
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from wafo.integrate import gaussq
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class Gaussq(unittest.TestCase):
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'''
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1 : p(x) = 1 a =-1, b = 1 Gauss-Legendre
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2 : p(x) = exp(-x^2) a =-inf, b = inf Hermite
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3 : p(x) = x^alpha*exp(-x) a = 0, b = inf Laguerre
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4 : p(x) = (x-a)^alpha*(b-x)^beta a =-1, b = 1 Jacobi
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5 : p(x) = 1/sqrt((x-a)*(b-x)), a =-1, b = 1 Chebyshev 1'st kind
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6 : p(x) = sqrt((x-a)*(b-x)), a =-1, b = 1 Chebyshev 2'nd kind
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7 : p(x) = sqrt((x-a)/(b-x)), a = 0, b = 1
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8 : p(x) = 1/sqrt(b-x), a = 0, b = 1
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9 : p(x) = sqrt(b-x), a = 0, b = 1
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'''
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def test_gauss_legendre(self):
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val, _err = gaussq(exp, 0, 1)
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assert_array_almost_equal(val, exp(1)-exp(0))
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a, b, y = [0, 0], [1, 1], np.array([1., 2.])
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val, _err = gaussq(lambda x, y: x * y, a, b, args=(y, ))
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assert_array_almost_equal(val, 0.5*y)
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def test_gauss_hermite(self):
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val, _err = gaussq(lambda x: x, -Inf, Inf, wfun=2)
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assert_array_almost_equal(val, 0)
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def test_gauss_laguerre(self):
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val, _err = gaussq(lambda x: x, 0, Inf, wfun=3, alpha=1)
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assert_array_almost_equal(val, 2)
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def test_gauss_jacobi(self):
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val, _err = gaussq(lambda x: x, -1, 1, wfun=4, alpha=-0.5, beta=-0.5)
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assert_array_almost_equal(val, 0)
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def test_gauss_wfun5_6(self):
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for i in [5, 6]:
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val, _err = gaussq(lambda x: x, -1, 1, wfun=i)
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assert_array_almost_equal(val, 0)
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def test_gauss_wfun7(self):
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val, _err = gaussq(lambda x: x, 0, 1, wfun=7)
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assert_array_almost_equal(val, 1.17809725)
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def test_gauss_wfun8(self):
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val, _err = gaussq(lambda x: x, 0, 1, wfun=8)
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assert_array_almost_equal(val, 1.33333333)
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def test_gauss_wfun9(self):
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val, _err = gaussq(lambda x: x, 0, 1, wfun=9)
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assert_array_almost_equal(val, 0.26666667)
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if __name__ == "__main__":
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# import sys;sys.argv = ['', 'Test.testName']
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unittest.main()
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