From 0fd8002b11852969d5a8625dd151c085bf44af57 Mon Sep 17 00:00:00 2001
From: Pavel Guzenfeld <pavelguzenfeld@gmail.com>
Date: Wed, 18 Mar 2026 15:13:22 +0000
Subject: [PATCH] Fix most vexing parse in SparseSparseProductWithPruning.h

libeigen/eigen!2298

Closes #3060

Co-authored-by: Pavel Guzenfeld <67074795+PavelGuzenfeld@users.noreply.github.com>
---
 Eigen/src/SparseCore/SparseSparseProductWithPruning.h | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Eigen/src/SparseCore/SparseSparseProductWithPruning.h b/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
index 84816aef4..41e5261ae 100644
--- a/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
+++ b/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
@@ -84,7 +84,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs, Rhs, ResultType, ColMajo
   typedef typename ResultType::RealScalar RealScalar;
 
   static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance) {
-    remove_all_t<ResultType> res_(res.rows(), res.cols());
+    remove_all_t<ResultType> res_{res.rows(), res.cols()};
     internal::sparse_sparse_product_with_pruning_impl<Lhs, Rhs, ResultType>(lhs, rhs, res_, tolerance);
     res.swap(res_);
   }
@@ -96,7 +96,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs, Rhs, ResultType, ColMajo
   static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance) {
     // we need a col-major matrix to hold the result
     typedef SparseMatrix<typename ResultType::Scalar, ColMajor, typename ResultType::StorageIndex> SparseTemporaryType;
-    SparseTemporaryType res_(res.rows(), res.cols());
+    SparseTemporaryType res_{res.rows(), res.cols()};
     internal::sparse_sparse_product_with_pruning_impl<Lhs, Rhs, SparseTemporaryType>(lhs, rhs, res_, tolerance);
     res = res_;
   }
@@ -107,7 +107,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs, Rhs, ResultType, RowMajo
   typedef typename ResultType::RealScalar RealScalar;
   static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance) {
     // let's transpose the product to get a column x column product
-    remove_all_t<ResultType> res_(res.rows(), res.cols());
+    remove_all_t<ResultType> res_{res.rows(), res.cols()};
     internal::sparse_sparse_product_with_pruning_impl<Rhs, Lhs, ResultType>(rhs, lhs, res_, tolerance);
     res.swap(res_);
   }