@@ -145,7 +145,8 @@ DOCTEST_TEST_CASE("proxqp::dense: test compute backward for b (feasible QP)")
145145 }
146146}
147147
148- DOCTEST_TEST_CASE (" proxqp::dense: test compute backward for g (QP with saturating inequality constraints)" )
148+ DOCTEST_TEST_CASE (" proxqp::dense: test compute backward for g (QP with "
149+ " saturating inequality constraints)" )
149150{
150151 double sparsity_factor = 0.85 ;
151152 T eps_abs = T (1e-9 );
@@ -157,7 +158,6 @@ DOCTEST_TEST_CASE("proxqp::dense: test compute backward for g (QP with saturatin
157158 proxqp::dense::Model<T> random_qp = proxqp::utils::dense_strongly_convex_qp (
158159 dim, n_eq, n_in, sparsity_factor, strong_convexity_factor);
159160
160-
161161 std::cout << " creating random qp " << std::endl;
162162 Eigen::Matrix<T, 10 , 10 > H = random_qp.H ;
163163 Eigen::Matrix<T, 10 , 1 > g = random_qp.g ;
@@ -175,7 +175,8 @@ DOCTEST_TEST_CASE("proxqp::dense: test compute backward for g (QP with saturatin
175175 qp.init (H, g, nullopt , nullopt , C, l, nullopt );
176176 std::cout << " solving qp " << std::endl;
177177 qp.solve ();
178- std::cout << " active ineq " << qp.work .active_inequalities .count () << std::endl;
178+ std::cout << " active ineq " << qp.work .active_inequalities .count ()
179+ << std::endl;
179180
180181 // Compute dx_dg using backward function
181182 Eigen::VectorXd loss_derivative = Eigen::VectorXd::Zero (dim + n_eq + n_in);
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