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82f0ce2726
This provide several advantages: - more flexibility in designing unit tests - unit tests can be glued to speed up compilation - unit tests are compiled with same predefined macros, which is a requirement for zapcc
114 lines
3.5 KiB
C++
114 lines
3.5 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2010 Manuel Yguel <manuel.yguel@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "main.h"
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#include <unsupported/Eigen/Polynomials>
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#include <iostream>
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using namespace std;
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namespace Eigen {
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namespace internal {
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template<int Size>
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struct increment_if_fixed_size
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{
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enum {
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ret = (Size == Dynamic) ? Dynamic : Size+1
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};
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};
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}
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}
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template<typename _Scalar, int _Deg>
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void realRoots_to_monicPolynomial_test(int deg)
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{
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typedef internal::increment_if_fixed_size<_Deg> Dim;
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typedef Matrix<_Scalar,Dim::ret,1> PolynomialType;
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typedef Matrix<_Scalar,_Deg,1> EvalRootsType;
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PolynomialType pols(deg+1);
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EvalRootsType roots = EvalRootsType::Random(deg);
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roots_to_monicPolynomial( roots, pols );
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EvalRootsType evr( deg );
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for( int i=0; i<roots.size(); ++i ){
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evr[i] = std::abs( poly_eval( pols, roots[i] ) ); }
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bool evalToZero = evr.isZero( test_precision<_Scalar>() );
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if( !evalToZero ){
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cerr << evr.transpose() << endl; }
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VERIFY( evalToZero );
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}
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template<typename _Scalar> void realRoots_to_monicPolynomial_scalar()
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{
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CALL_SUBTEST_2( (realRoots_to_monicPolynomial_test<_Scalar,2>(2)) );
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CALL_SUBTEST_3( (realRoots_to_monicPolynomial_test<_Scalar,3>(3)) );
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CALL_SUBTEST_4( (realRoots_to_monicPolynomial_test<_Scalar,4>(4)) );
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CALL_SUBTEST_5( (realRoots_to_monicPolynomial_test<_Scalar,5>(5)) );
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CALL_SUBTEST_6( (realRoots_to_monicPolynomial_test<_Scalar,6>(6)) );
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CALL_SUBTEST_7( (realRoots_to_monicPolynomial_test<_Scalar,7>(7)) );
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CALL_SUBTEST_8( (realRoots_to_monicPolynomial_test<_Scalar,17>(17)) );
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CALL_SUBTEST_9( (realRoots_to_monicPolynomial_test<_Scalar,Dynamic>(
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internal::random<int>(18,26) )) );
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}
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template<typename _Scalar, int _Deg>
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void CauchyBounds(int deg)
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{
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typedef internal::increment_if_fixed_size<_Deg> Dim;
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typedef Matrix<_Scalar,Dim::ret,1> PolynomialType;
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typedef Matrix<_Scalar,_Deg,1> EvalRootsType;
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PolynomialType pols(deg+1);
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EvalRootsType roots = EvalRootsType::Random(deg);
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roots_to_monicPolynomial( roots, pols );
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_Scalar M = cauchy_max_bound( pols );
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_Scalar m = cauchy_min_bound( pols );
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_Scalar Max = roots.array().abs().maxCoeff();
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_Scalar min = roots.array().abs().minCoeff();
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bool eval = (M >= Max) && (m <= min);
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if( !eval )
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{
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cerr << "Roots: " << roots << endl;
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cerr << "Bounds: (" << m << ", " << M << ")" << endl;
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cerr << "Min,Max: (" << min << ", " << Max << ")" << endl;
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}
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VERIFY( eval );
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}
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template<typename _Scalar> void CauchyBounds_scalar()
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{
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CALL_SUBTEST_2( (CauchyBounds<_Scalar,2>(2)) );
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CALL_SUBTEST_3( (CauchyBounds<_Scalar,3>(3)) );
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CALL_SUBTEST_4( (CauchyBounds<_Scalar,4>(4)) );
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CALL_SUBTEST_5( (CauchyBounds<_Scalar,5>(5)) );
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CALL_SUBTEST_6( (CauchyBounds<_Scalar,6>(6)) );
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CALL_SUBTEST_7( (CauchyBounds<_Scalar,7>(7)) );
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CALL_SUBTEST_8( (CauchyBounds<_Scalar,17>(17)) );
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CALL_SUBTEST_9( (CauchyBounds<_Scalar,Dynamic>(
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internal::random<int>(18,26) )) );
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}
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EIGEN_DECLARE_TEST(polynomialutils)
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{
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for(int i = 0; i < g_repeat; i++)
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{
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realRoots_to_monicPolynomial_scalar<double>();
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realRoots_to_monicPolynomial_scalar<float>();
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CauchyBounds_scalar<double>();
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CauchyBounds_scalar<float>();
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}
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}
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