#!/usr/bin/env python3 """Contains routines to test the solvers module""" import numpy as np from numpy.typing import NDArray import solvers def test_elimination_3() -> None: """Tests elimination with 3 variables.""" aa = np.array([[2.0, 4.0, 4.0], [5.0, 4.0, 2.0], [1.0, 2.0, -1.0]], dtype=np.float_) bb = np.array([1.0, 4.0, 2.0], dtype=np.float_) xx_expected = np.array([0.666666666666667, 0.416666666666667, -0.5], dtype=np.float_) xx_gauss = solvers.gaussian_eliminate(aa, bb) assert np.allclose(xx_expected, xx_gauss) def test_pivot_3() -> None: """Tests a solution with 3 variables, where pivot is necessary.""" aa = np.array([[2.0, 4.0, 4.0], [1.0, 2.0, -1.0], [5.0, 4.0, 2.0]]) bb = np.array([1.0, 2.0, 4.0]) xx_expected = np.array([0.666666666666667, 0.416666666666667, -0.5]) xx_gauss = solvers.gaussian_eliminate(aa, bb) assert np.allclose(xx_expected, xx_gauss) def test_lindep_3() -> None: """Tests a linearly dependent system wit three variables.""" aa = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]) bb = np.array([1.0, 2.0, 3.0]) xx_expected = None xx_gauss = solvers.gaussian_eliminate(aa, bb) assert xx_expected == xx_gauss def test_lu_factorization() -> None: aa = np.array([[2.0, 4.0, 4.0], [1.0, 2.0, -1.0], [5.0, 4.0, 2.0]]) ll, uu, pp = solvers.lu_factorization(aa) assert np.allclose(aa, pp.T @ ll @ uu) def test_forward_substitution() -> None: ll = np.array([[2.0, 0.0, 0.0], [-1.0, 2.0, 0.0], [4.0, 4.0, 2.0]]) bb = np.array([3.0, 2.0, 1.0]) xx_result = solvers.forward_substitution(ll, bb) xx_expected = np.array([3 / 2, 7.0 / 4.0, -6]) print(xx_result) assert np.allclose(xx_expected, xx_result) def test_back_substitution() -> None: uu = np.array([[2.0, 4.0, 4.0], [0.0, 2.0, -1.0], [0.0, 0.0, 2.0]]) bb = np.array([1.0, 2.0, 3.0]) xx_result = solvers.back_substitution(uu, bb) xx_expected = np.array([-6, 7.0 / 4.0, 3.0 / 2.0]) print(xx_result) assert np.allclose(xx_expected, xx_result)