// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2013 Christoph Hertzberg <chtz@informatik.uni-bremen.de> // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #include "main.h" #include <unsupported/Eigen/AutoDiff> /* * In this file scalar derivations are tested for correctness. * TODO add more tests! */ template<typename Scalar> void check_atan2() { typedef Matrix<Scalar, 1, 1> Deriv1; typedef AutoDiffScalar<Deriv1> AD; AD x(internal::random<Scalar>(-3.0, 3.0), Deriv1::UnitX()); using std::exp; Scalar r = exp(internal::random<Scalar>(-10, 10)); AD s = sin(x), c = cos(x); AD res = atan2(r*s, r*c); VERIFY_IS_APPROX(res.value(), x.value()); VERIFY_IS_APPROX(res.derivatives(), x.derivatives()); res = atan2(r*s+0, r*c+0); VERIFY_IS_APPROX(res.value(), x.value()); VERIFY_IS_APPROX(res.derivatives(), x.derivatives()); } void test_autodiff_scalar() { for(int i = 0; i < g_repeat; i++) { CALL_SUBTEST_1( check_atan2<float>() ); CALL_SUBTEST_2( check_atan2<double>() ); } }