| // 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>() ); | 
 |   } | 
 | } |