| 59 | |
| 60 | template <typename Scalar> |
| 61 | void run_vector_tests() |
| 62 | { |
| 63 | typedef Matrix<Scalar, 1, Eigen::Dynamic> VectorType; |
| 64 | |
| 65 | VectorType m, n; |
| 66 | |
| 67 | // boundary cases ... |
| 68 | m = n = VectorType::Random(50); |
| 69 | m.conservativeResize(1); |
| 70 | VERIFY_IS_APPROX(m, n.segment(0,1)); |
| 71 | |
| 72 | m = n = VectorType::Random(50); |
| 73 | m.conservativeResize(50); |
| 74 | VERIFY_IS_APPROX(m, n.segment(0,50)); |
| 75 | |
| 76 | m = n = VectorType::Random(50); |
| 77 | m.conservativeResize(m.rows(),1); |
| 78 | VERIFY_IS_APPROX(m, n.segment(0,1)); |
| 79 | |
| 80 | m = n = VectorType::Random(50); |
| 81 | m.conservativeResize(m.rows(),50); |
| 82 | VERIFY_IS_APPROX(m, n.segment(0,50)); |
| 83 | |
| 84 | // random shrinking ... |
| 85 | for (int i=0; i<50; ++i) |
| 86 | { |
| 87 | const int size = internal::random<int>(1,50); |
| 88 | m = n = VectorType::Random(50); |
| 89 | m.conservativeResize(size); |
| 90 | VERIFY_IS_APPROX(m, n.segment(0,size)); |
| 91 | |
| 92 | m = n = VectorType::Random(50); |
| 93 | m.conservativeResize(m.rows(), size); |
| 94 | VERIFY_IS_APPROX(m, n.segment(0,size)); |
| 95 | } |
| 96 | |
| 97 | // random growing with zeroing ... |
| 98 | for (int i=0; i<50; ++i) |
| 99 | { |
| 100 | const int size = internal::random<int>(50,100); |
| 101 | m = n = VectorType::Random(50); |
| 102 | m.conservativeResizeLike(VectorType::Zero(size)); |
| 103 | VERIFY_IS_APPROX(m.segment(0,50), n); |
| 104 | VERIFY( size<=50 || m.segment(50,size-50).sum() == Scalar(0) ); |
| 105 | |
| 106 | m = n = VectorType::Random(50); |
| 107 | m.conservativeResizeLike(Matrix<Scalar,Dynamic,Dynamic>::Zero(1,size)); |
| 108 | VERIFY_IS_APPROX(m.segment(0,50), n); |
| 109 | VERIFY( size<=50 || m.segment(50,size-50).sum() == Scalar(0) ); |
| 110 | } |
| 111 | } |
| 112 | |
| 113 | void test_conservative_resize() |
| 114 | { |
nothing calls this directly
no test coverage detected