|  | // 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()); | 
|  | } | 
|  |  | 
|  |  | 
|  |  | 
|  |  | 
|  | void test_autodiff_scalar() | 
|  | { | 
|  | for(int i = 0; i < g_repeat; i++) { | 
|  | CALL_SUBTEST_1( check_atan2<float>() ); | 
|  | CALL_SUBTEST_2( check_atan2<double>() ); | 
|  | } | 
|  | } |