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572 lines
18 KiB
Python
572 lines
18 KiB
Python
"""Tests for legendre module.
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"""
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from functools import reduce
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import numpy as np
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import numpy.polynomial.legendre as leg
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from numpy.polynomial.polynomial import polyval
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from numpy.testing import (
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assert_,
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assert_almost_equal,
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assert_equal,
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assert_raises,
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)
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L0 = np.array([1])
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L1 = np.array([0, 1])
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L2 = np.array([-1, 0, 3]) / 2
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L3 = np.array([0, -3, 0, 5]) / 2
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L4 = np.array([3, 0, -30, 0, 35]) / 8
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L5 = np.array([0, 15, 0, -70, 0, 63]) / 8
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L6 = np.array([-5, 0, 105, 0, -315, 0, 231]) / 16
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L7 = np.array([0, -35, 0, 315, 0, -693, 0, 429]) / 16
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L8 = np.array([35, 0, -1260, 0, 6930, 0, -12012, 0, 6435]) / 128
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L9 = np.array([0, 315, 0, -4620, 0, 18018, 0, -25740, 0, 12155]) / 128
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Llist = [L0, L1, L2, L3, L4, L5, L6, L7, L8, L9]
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def trim(x):
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return leg.legtrim(x, tol=1e-6)
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class TestConstants:
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def test_legdomain(self):
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assert_equal(leg.legdomain, [-1, 1])
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def test_legzero(self):
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assert_equal(leg.legzero, [0])
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def test_legone(self):
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assert_equal(leg.legone, [1])
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def test_legx(self):
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assert_equal(leg.legx, [0, 1])
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class TestArithmetic:
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x = np.linspace(-1, 1, 100)
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def test_legadd(self):
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for i in range(5):
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for j in range(5):
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msg = f"At i={i}, j={j}"
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tgt = np.zeros(max(i, j) + 1)
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tgt[i] += 1
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tgt[j] += 1
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res = leg.legadd([0] * i + [1], [0] * j + [1])
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assert_equal(trim(res), trim(tgt), err_msg=msg)
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def test_legsub(self):
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for i in range(5):
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for j in range(5):
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msg = f"At i={i}, j={j}"
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tgt = np.zeros(max(i, j) + 1)
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tgt[i] += 1
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tgt[j] -= 1
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res = leg.legsub([0] * i + [1], [0] * j + [1])
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assert_equal(trim(res), trim(tgt), err_msg=msg)
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def test_legmulx(self):
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assert_equal(leg.legmulx([0]), [0])
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assert_equal(leg.legmulx([1]), [0, 1])
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for i in range(1, 5):
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tmp = 2 * i + 1
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ser = [0] * i + [1]
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tgt = [0] * (i - 1) + [i / tmp, 0, (i + 1) / tmp]
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assert_equal(leg.legmulx(ser), tgt)
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def test_legmul(self):
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# check values of result
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for i in range(5):
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pol1 = [0] * i + [1]
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val1 = leg.legval(self.x, pol1)
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for j in range(5):
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msg = f"At i={i}, j={j}"
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pol2 = [0] * j + [1]
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val2 = leg.legval(self.x, pol2)
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pol3 = leg.legmul(pol1, pol2)
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val3 = leg.legval(self.x, pol3)
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assert_(len(pol3) == i + j + 1, msg)
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assert_almost_equal(val3, val1 * val2, err_msg=msg)
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def test_legdiv(self):
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for i in range(5):
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for j in range(5):
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msg = f"At i={i}, j={j}"
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ci = [0] * i + [1]
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cj = [0] * j + [1]
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tgt = leg.legadd(ci, cj)
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quo, rem = leg.legdiv(tgt, ci)
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res = leg.legadd(leg.legmul(quo, ci), rem)
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assert_equal(trim(res), trim(tgt), err_msg=msg)
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def test_legpow(self):
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for i in range(5):
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for j in range(5):
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msg = f"At i={i}, j={j}"
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c = np.arange(i + 1)
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tgt = reduce(leg.legmul, [c] * j, np.array([1]))
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res = leg.legpow(c, j)
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assert_equal(trim(res), trim(tgt), err_msg=msg)
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class TestEvaluation:
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# coefficients of 1 + 2*x + 3*x**2
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c1d = np.array([2., 2., 2.])
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c2d = np.einsum('i,j->ij', c1d, c1d)
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c3d = np.einsum('i,j,k->ijk', c1d, c1d, c1d)
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# some random values in [-1, 1)
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x = np.random.random((3, 5)) * 2 - 1
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y = polyval(x, [1., 2., 3.])
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def test_legval(self):
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# check empty input
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assert_equal(leg.legval([], [1]).size, 0)
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# check normal input)
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x = np.linspace(-1, 1)
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y = [polyval(x, c) for c in Llist]
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for i in range(10):
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msg = f"At i={i}"
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tgt = y[i]
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res = leg.legval(x, [0] * i + [1])
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assert_almost_equal(res, tgt, err_msg=msg)
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# check that shape is preserved
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for i in range(3):
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dims = [2] * i
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x = np.zeros(dims)
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assert_equal(leg.legval(x, [1]).shape, dims)
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assert_equal(leg.legval(x, [1, 0]).shape, dims)
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assert_equal(leg.legval(x, [1, 0, 0]).shape, dims)
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def test_legval2d(self):
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x1, x2, x3 = self.x
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y1, y2, y3 = self.y
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# test exceptions
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assert_raises(ValueError, leg.legval2d, x1, x2[:2], self.c2d)
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# test values
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tgt = y1 * y2
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res = leg.legval2d(x1, x2, self.c2d)
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assert_almost_equal(res, tgt)
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# test shape
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z = np.ones((2, 3))
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res = leg.legval2d(z, z, self.c2d)
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assert_(res.shape == (2, 3))
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def test_legval3d(self):
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x1, x2, x3 = self.x
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y1, y2, y3 = self.y
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# test exceptions
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assert_raises(ValueError, leg.legval3d, x1, x2, x3[:2], self.c3d)
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# test values
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tgt = y1 * y2 * y3
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res = leg.legval3d(x1, x2, x3, self.c3d)
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assert_almost_equal(res, tgt)
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# test shape
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z = np.ones((2, 3))
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res = leg.legval3d(z, z, z, self.c3d)
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assert_(res.shape == (2, 3))
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def test_leggrid2d(self):
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x1, x2, x3 = self.x
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y1, y2, y3 = self.y
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# test values
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tgt = np.einsum('i,j->ij', y1, y2)
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res = leg.leggrid2d(x1, x2, self.c2d)
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assert_almost_equal(res, tgt)
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# test shape
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z = np.ones((2, 3))
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res = leg.leggrid2d(z, z, self.c2d)
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assert_(res.shape == (2, 3) * 2)
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def test_leggrid3d(self):
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x1, x2, x3 = self.x
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y1, y2, y3 = self.y
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# test values
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tgt = np.einsum('i,j,k->ijk', y1, y2, y3)
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res = leg.leggrid3d(x1, x2, x3, self.c3d)
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assert_almost_equal(res, tgt)
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# test shape
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z = np.ones((2, 3))
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res = leg.leggrid3d(z, z, z, self.c3d)
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assert_(res.shape == (2, 3) * 3)
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class TestIntegral:
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def test_legint(self):
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# check exceptions
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assert_raises(TypeError, leg.legint, [0], .5)
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assert_raises(ValueError, leg.legint, [0], -1)
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assert_raises(ValueError, leg.legint, [0], 1, [0, 0])
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assert_raises(ValueError, leg.legint, [0], lbnd=[0])
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assert_raises(ValueError, leg.legint, [0], scl=[0])
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assert_raises(TypeError, leg.legint, [0], axis=.5)
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# test integration of zero polynomial
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for i in range(2, 5):
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k = [0] * (i - 2) + [1]
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res = leg.legint([0], m=i, k=k)
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assert_almost_equal(res, [0, 1])
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# check single integration with integration constant
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for i in range(5):
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scl = i + 1
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pol = [0] * i + [1]
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tgt = [i] + [0] * i + [1 / scl]
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legpol = leg.poly2leg(pol)
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legint = leg.legint(legpol, m=1, k=[i])
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res = leg.leg2poly(legint)
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assert_almost_equal(trim(res), trim(tgt))
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# check single integration with integration constant and lbnd
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for i in range(5):
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scl = i + 1
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pol = [0] * i + [1]
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legpol = leg.poly2leg(pol)
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legint = leg.legint(legpol, m=1, k=[i], lbnd=-1)
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assert_almost_equal(leg.legval(-1, legint), i)
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# check single integration with integration constant and scaling
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for i in range(5):
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scl = i + 1
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pol = [0] * i + [1]
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tgt = [i] + [0] * i + [2 / scl]
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legpol = leg.poly2leg(pol)
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legint = leg.legint(legpol, m=1, k=[i], scl=2)
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res = leg.leg2poly(legint)
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assert_almost_equal(trim(res), trim(tgt))
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# check multiple integrations with default k
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for i in range(5):
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for j in range(2, 5):
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pol = [0] * i + [1]
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tgt = pol[:]
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for k in range(j):
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tgt = leg.legint(tgt, m=1)
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res = leg.legint(pol, m=j)
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assert_almost_equal(trim(res), trim(tgt))
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# check multiple integrations with defined k
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for i in range(5):
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for j in range(2, 5):
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pol = [0] * i + [1]
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tgt = pol[:]
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for k in range(j):
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tgt = leg.legint(tgt, m=1, k=[k])
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res = leg.legint(pol, m=j, k=list(range(j)))
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assert_almost_equal(trim(res), trim(tgt))
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# check multiple integrations with lbnd
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for i in range(5):
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for j in range(2, 5):
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pol = [0] * i + [1]
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tgt = pol[:]
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for k in range(j):
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tgt = leg.legint(tgt, m=1, k=[k], lbnd=-1)
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res = leg.legint(pol, m=j, k=list(range(j)), lbnd=-1)
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assert_almost_equal(trim(res), trim(tgt))
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# check multiple integrations with scaling
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for i in range(5):
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for j in range(2, 5):
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pol = [0] * i + [1]
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tgt = pol[:]
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for k in range(j):
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tgt = leg.legint(tgt, m=1, k=[k], scl=2)
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res = leg.legint(pol, m=j, k=list(range(j)), scl=2)
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assert_almost_equal(trim(res), trim(tgt))
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def test_legint_axis(self):
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# check that axis keyword works
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c2d = np.random.random((3, 4))
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tgt = np.vstack([leg.legint(c) for c in c2d.T]).T
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res = leg.legint(c2d, axis=0)
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assert_almost_equal(res, tgt)
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tgt = np.vstack([leg.legint(c) for c in c2d])
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res = leg.legint(c2d, axis=1)
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assert_almost_equal(res, tgt)
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tgt = np.vstack([leg.legint(c, k=3) for c in c2d])
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res = leg.legint(c2d, k=3, axis=1)
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assert_almost_equal(res, tgt)
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def test_legint_zerointord(self):
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assert_equal(leg.legint((1, 2, 3), 0), (1, 2, 3))
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class TestDerivative:
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def test_legder(self):
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# check exceptions
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assert_raises(TypeError, leg.legder, [0], .5)
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assert_raises(ValueError, leg.legder, [0], -1)
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# check that zeroth derivative does nothing
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for i in range(5):
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tgt = [0] * i + [1]
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res = leg.legder(tgt, m=0)
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assert_equal(trim(res), trim(tgt))
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# check that derivation is the inverse of integration
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for i in range(5):
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for j in range(2, 5):
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tgt = [0] * i + [1]
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res = leg.legder(leg.legint(tgt, m=j), m=j)
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assert_almost_equal(trim(res), trim(tgt))
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# check derivation with scaling
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for i in range(5):
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for j in range(2, 5):
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tgt = [0] * i + [1]
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res = leg.legder(leg.legint(tgt, m=j, scl=2), m=j, scl=.5)
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assert_almost_equal(trim(res), trim(tgt))
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def test_legder_axis(self):
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# check that axis keyword works
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c2d = np.random.random((3, 4))
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tgt = np.vstack([leg.legder(c) for c in c2d.T]).T
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res = leg.legder(c2d, axis=0)
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assert_almost_equal(res, tgt)
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tgt = np.vstack([leg.legder(c) for c in c2d])
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res = leg.legder(c2d, axis=1)
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assert_almost_equal(res, tgt)
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def test_legder_orderhigherthancoeff(self):
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c = (1, 2, 3, 4)
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assert_equal(leg.legder(c, 4), [0])
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class TestVander:
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# some random values in [-1, 1)
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x = np.random.random((3, 5)) * 2 - 1
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def test_legvander(self):
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# check for 1d x
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x = np.arange(3)
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v = leg.legvander(x, 3)
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assert_(v.shape == (3, 4))
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for i in range(4):
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coef = [0] * i + [1]
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assert_almost_equal(v[..., i], leg.legval(x, coef))
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# check for 2d x
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x = np.array([[1, 2], [3, 4], [5, 6]])
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v = leg.legvander(x, 3)
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assert_(v.shape == (3, 2, 4))
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for i in range(4):
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coef = [0] * i + [1]
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assert_almost_equal(v[..., i], leg.legval(x, coef))
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def test_legvander2d(self):
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# also tests polyval2d for non-square coefficient array
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x1, x2, x3 = self.x
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c = np.random.random((2, 3))
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van = leg.legvander2d(x1, x2, [1, 2])
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tgt = leg.legval2d(x1, x2, c)
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res = np.dot(van, c.flat)
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assert_almost_equal(res, tgt)
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# check shape
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van = leg.legvander2d([x1], [x2], [1, 2])
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assert_(van.shape == (1, 5, 6))
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def test_legvander3d(self):
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# also tests polyval3d for non-square coefficient array
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x1, x2, x3 = self.x
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c = np.random.random((2, 3, 4))
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van = leg.legvander3d(x1, x2, x3, [1, 2, 3])
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tgt = leg.legval3d(x1, x2, x3, c)
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res = np.dot(van, c.flat)
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assert_almost_equal(res, tgt)
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# check shape
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van = leg.legvander3d([x1], [x2], [x3], [1, 2, 3])
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assert_(van.shape == (1, 5, 24))
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def test_legvander_negdeg(self):
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assert_raises(ValueError, leg.legvander, (1, 2, 3), -1)
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class TestFitting:
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def test_legfit(self):
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def f(x):
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return x * (x - 1) * (x - 2)
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def f2(x):
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return x**4 + x**2 + 1
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# Test exceptions
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assert_raises(ValueError, leg.legfit, [1], [1], -1)
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assert_raises(TypeError, leg.legfit, [[1]], [1], 0)
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assert_raises(TypeError, leg.legfit, [], [1], 0)
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assert_raises(TypeError, leg.legfit, [1], [[[1]]], 0)
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assert_raises(TypeError, leg.legfit, [1, 2], [1], 0)
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assert_raises(TypeError, leg.legfit, [1], [1, 2], 0)
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assert_raises(TypeError, leg.legfit, [1], [1], 0, w=[[1]])
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assert_raises(TypeError, leg.legfit, [1], [1], 0, w=[1, 1])
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assert_raises(ValueError, leg.legfit, [1], [1], [-1,])
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assert_raises(ValueError, leg.legfit, [1], [1], [2, -1, 6])
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assert_raises(TypeError, leg.legfit, [1], [1], [])
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# Test fit
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x = np.linspace(0, 2)
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y = f(x)
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#
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coef3 = leg.legfit(x, y, 3)
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assert_equal(len(coef3), 4)
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assert_almost_equal(leg.legval(x, coef3), y)
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coef3 = leg.legfit(x, y, [0, 1, 2, 3])
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assert_equal(len(coef3), 4)
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assert_almost_equal(leg.legval(x, coef3), y)
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#
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coef4 = leg.legfit(x, y, 4)
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assert_equal(len(coef4), 5)
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assert_almost_equal(leg.legval(x, coef4), y)
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coef4 = leg.legfit(x, y, [0, 1, 2, 3, 4])
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|
assert_equal(len(coef4), 5)
|
|
assert_almost_equal(leg.legval(x, coef4), y)
|
|
# check things still work if deg is not in strict increasing
|
|
coef4 = leg.legfit(x, y, [2, 3, 4, 1, 0])
|
|
assert_equal(len(coef4), 5)
|
|
assert_almost_equal(leg.legval(x, coef4), y)
|
|
#
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|
coef2d = leg.legfit(x, np.array([y, y]).T, 3)
|
|
assert_almost_equal(coef2d, np.array([coef3, coef3]).T)
|
|
coef2d = leg.legfit(x, np.array([y, y]).T, [0, 1, 2, 3])
|
|
assert_almost_equal(coef2d, np.array([coef3, coef3]).T)
|
|
# test weighting
|
|
w = np.zeros_like(x)
|
|
yw = y.copy()
|
|
w[1::2] = 1
|
|
y[0::2] = 0
|
|
wcoef3 = leg.legfit(x, yw, 3, w=w)
|
|
assert_almost_equal(wcoef3, coef3)
|
|
wcoef3 = leg.legfit(x, yw, [0, 1, 2, 3], w=w)
|
|
assert_almost_equal(wcoef3, coef3)
|
|
#
|
|
wcoef2d = leg.legfit(x, np.array([yw, yw]).T, 3, w=w)
|
|
assert_almost_equal(wcoef2d, np.array([coef3, coef3]).T)
|
|
wcoef2d = leg.legfit(x, np.array([yw, yw]).T, [0, 1, 2, 3], w=w)
|
|
assert_almost_equal(wcoef2d, np.array([coef3, coef3]).T)
|
|
# test scaling with complex values x points whose square
|
|
# is zero when summed.
|
|
x = [1, 1j, -1, -1j]
|
|
assert_almost_equal(leg.legfit(x, x, 1), [0, 1])
|
|
assert_almost_equal(leg.legfit(x, x, [0, 1]), [0, 1])
|
|
# test fitting only even Legendre polynomials
|
|
x = np.linspace(-1, 1)
|
|
y = f2(x)
|
|
coef1 = leg.legfit(x, y, 4)
|
|
assert_almost_equal(leg.legval(x, coef1), y)
|
|
coef2 = leg.legfit(x, y, [0, 2, 4])
|
|
assert_almost_equal(leg.legval(x, coef2), y)
|
|
assert_almost_equal(coef1, coef2)
|
|
|
|
|
|
class TestCompanion:
|
|
|
|
def test_raises(self):
|
|
assert_raises(ValueError, leg.legcompanion, [])
|
|
assert_raises(ValueError, leg.legcompanion, [1])
|
|
|
|
def test_dimensions(self):
|
|
for i in range(1, 5):
|
|
coef = [0] * i + [1]
|
|
assert_(leg.legcompanion(coef).shape == (i, i))
|
|
|
|
def test_linear_root(self):
|
|
assert_(leg.legcompanion([1, 2])[0, 0] == -.5)
|
|
|
|
|
|
class TestGauss:
|
|
|
|
def test_100(self):
|
|
x, w = leg.leggauss(100)
|
|
|
|
# test orthogonality. Note that the results need to be normalized,
|
|
# otherwise the huge values that can arise from fast growing
|
|
# functions like Laguerre can be very confusing.
|
|
v = leg.legvander(x, 99)
|
|
vv = np.dot(v.T * w, v)
|
|
vd = 1 / np.sqrt(vv.diagonal())
|
|
vv = vd[:, None] * vv * vd
|
|
assert_almost_equal(vv, np.eye(100))
|
|
|
|
# check that the integral of 1 is correct
|
|
tgt = 2.0
|
|
assert_almost_equal(w.sum(), tgt)
|
|
|
|
|
|
class TestMisc:
|
|
|
|
def test_legfromroots(self):
|
|
res = leg.legfromroots([])
|
|
assert_almost_equal(trim(res), [1])
|
|
for i in range(1, 5):
|
|
roots = np.cos(np.linspace(-np.pi, 0, 2 * i + 1)[1::2])
|
|
pol = leg.legfromroots(roots)
|
|
res = leg.legval(roots, pol)
|
|
tgt = 0
|
|
assert_(len(pol) == i + 1)
|
|
assert_almost_equal(leg.leg2poly(pol)[-1], 1)
|
|
assert_almost_equal(res, tgt)
|
|
|
|
def test_legroots(self):
|
|
assert_almost_equal(leg.legroots([1]), [])
|
|
assert_almost_equal(leg.legroots([1, 2]), [-.5])
|
|
for i in range(2, 5):
|
|
tgt = np.linspace(-1, 1, i)
|
|
res = leg.legroots(leg.legfromroots(tgt))
|
|
assert_almost_equal(trim(res), trim(tgt))
|
|
|
|
def test_legtrim(self):
|
|
coef = [2, -1, 1, 0]
|
|
|
|
# Test exceptions
|
|
assert_raises(ValueError, leg.legtrim, coef, -1)
|
|
|
|
# Test results
|
|
assert_equal(leg.legtrim(coef), coef[:-1])
|
|
assert_equal(leg.legtrim(coef, 1), coef[:-3])
|
|
assert_equal(leg.legtrim(coef, 2), [0])
|
|
|
|
def test_legline(self):
|
|
assert_equal(leg.legline(3, 4), [3, 4])
|
|
|
|
def test_legline_zeroscl(self):
|
|
assert_equal(leg.legline(3, 0), [3])
|
|
|
|
def test_leg2poly(self):
|
|
for i in range(10):
|
|
assert_almost_equal(leg.leg2poly([0] * i + [1]), Llist[i])
|
|
|
|
def test_poly2leg(self):
|
|
for i in range(10):
|
|
assert_almost_equal(leg.poly2leg(Llist[i]), [0] * i + [1])
|
|
|
|
def test_weight(self):
|
|
x = np.linspace(-1, 1, 11)
|
|
tgt = 1.
|
|
res = leg.legweight(x)
|
|
assert_almost_equal(res, tgt)
|