* installing *source* package ‘tinyVAST’ ... ** this is package ‘tinyVAST’ version ‘1.1.1’ ** package ‘tinyVAST’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (GCC) 15.1.1 20250521 (Red Hat 15.1.1-2)’ make[1]: Entering directory '/data/gannet/ripley/R/packages/tests-devel/tinyVAST/src' g++ -std=gnu++17 -I"/data/gannet/ripley/R/R-devel/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/data/gannet/ripley/R/test-dev/RcppEigen/include' -I'/data/gannet/ripley/R/test-dev/TMB/include' -I/usr/local/include -fpic -g -O2 -Wall -pedantic -mtune=native -Wno-ignored-attributes -Wno-parentheses -Wp,-D_FORTIFY_SOURCE=3 -fexceptions -fstack-protector-strong -fstack-clash-protection -fcf-protection -c tinyVAST.cpp -o tinyVAST.o In file included from /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/util/ConfigureVectorization.h:346, from /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/Core:22, from /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/Dense:1, from /data/gannet/ripley/R/test-dev/TMB/include/TMB.hpp:92, from tinyVAST.cpp:2: In function ‘__m128i _mm_load_si128(const __m128i*)’, inlined from ‘Packet Eigen::internal::pload(const typename unpacket_traits<T>::type*) [with Packet = eigen_packet_wrapper<__vector(2) long long int, 0>]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:717:126, inlined from ‘Packet Eigen::internal::ploadt(const typename unpacket_traits<T>::type*) [with Packet = eigen_packet_wrapper<__vector(2) long long int, 0>; int Alignment = 16]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/GenericPacketMath.h:967:25, inlined from ‘PacketType Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::packet(Eigen::Index) const [with int LoadMode = 16; PacketType = Eigen::internal::eigen_packet_wrapper<__vector(2) long long int, 0>; Derived = Eigen::Array<int, -1, 1>]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:245:40, inlined from ‘PacketType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 16; PacketType = Eigen::internal::eigen_packet_wrapper<__vector(2) long long int, 0>; BinaryOp = Eigen::internal::scalar_product_op<int, int>; Lhs = const Eigen::Array<int, -1, 1>; Rhs = const Eigen::Array<int, -1, 1>]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80, inlined from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >; Func = Eigen::internal::scalar_sum_op<int, int>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> > >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:254:80, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:418:56, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:463:25, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:459:1, inlined from ‘int tmbutils::array<Type>::index(tmbutils::vector<int>) [with Type = TMBad::global::ad_aug]’ at /data/gannet/ripley/R/test-dev/TMB/include/tmbutils/array.hpp:248:26, inlined from ‘Type& tmbutils::array<Type>::operator()(int, int) [with Type = TMBad::global::ad_aug]’ at /data/gannet/ripley/R/test-dev/TMB/include/tmbutils/array.hpp:221:43: /usr/lib/gcc/x86_64-redhat-linux/15/include/emmintrin.h:701:11: warning: ‘((const __m128i*)result)[1]’ may be used uninitialized [-Wmaybe-uninitialized] 701 | return *__P; | ^~~ In file included from /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/Core:253: In member function ‘Eigen::internal::scalar_product_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_product_op<LhsScalar, RhsScalar>::operator()(const LhsScalar&, const RhsScalar&) const [with LhsScalar = int; RhsScalar = int]’, inlined from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op<int, int>; Lhs = const Eigen::Array<int, -1, 1>; Rhs = const Eigen::Array<int, -1, 1>]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:22, inlined from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >; Func = Eigen::internal::scalar_sum_op<int, int>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> > >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:278:34, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:418:56, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:463:25, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:459:1, inlined from ‘int tmbutils::array<Type>::index(tmbutils::vector<int>) [with Type = TMBad::global::ad_aug]’ at /data/gannet/ripley/R/test-dev/TMB/include/tmbutils/array.hpp:248:26, inlined from ‘Type& tmbutils::array<Type>::operator()(int, int) [with Type = TMBad::global::ad_aug]’ at /data/gannet/ripley/R/test-dev/TMB/include/tmbutils/array.hpp:221:43: /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/functors/BinaryFunctors.h:80:122: warning: ‘((const int*)result)[2]’ may be used uninitialized [-Wmaybe-uninitialized] 80 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a * b; } | ~~^~~ In function ‘__m128i _mm_load_si128(const __m128i*)’, inlined from ‘Packet Eigen::internal::pload(const typename unpacket_traits<T>::type*) [with Packet = eigen_packet_wrapper<__vector(2) long long int, 0>]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:717:126, inlined from ‘Packet Eigen::internal::ploadt(const typename unpacket_traits<T>::type*) [with Packet = eigen_packet_wrapper<__vector(2) long long int, 0>; int Alignment = 16]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/GenericPacketMath.h:967:25, inlined from ‘PacketType Eigen::internal::evaluator<Eigen::PlainObjectBase<Derived> >::packet(Eigen::Index) const [with int LoadMode = 16; PacketType = Eigen::internal::eigen_packet_wrapper<__vector(2) long long int, 0>; Derived = Eigen::Array<int, -1, 1>]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:245:40, inlined from ‘PacketType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 16; PacketType = Eigen::internal::eigen_packet_wrapper<__vector(2) long long int, 0>; BinaryOp = Eigen::internal::scalar_product_op<int, int>; Lhs = const Eigen::Array<int, -1, 1>; Rhs = const Eigen::Array<int, -1, 1>]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80, inlined from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >; Func = Eigen::internal::scalar_sum_op<int, int>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> > >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:254:80, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:418:56, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:463:25, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:459:1, inlined from ‘int tmbutils::array<Type>::index(tmbutils::vector<int>) [with Type = double]’ at /data/gannet/ripley/R/test-dev/TMB/include/tmbutils/array.hpp:248:26, inlined from ‘Type& tmbutils::array<Type>::operator()(int, int) [with Type = double]’ at /data/gannet/ripley/R/test-dev/TMB/include/tmbutils/array.hpp:221:43: /usr/lib/gcc/x86_64-redhat-linux/15/include/emmintrin.h:701:11: warning: ‘((const __m128i*)result)[1]’ may be used uninitialized [-Wmaybe-uninitialized] 701 | return *__P; | ^~~ In member function ‘Eigen::internal::scalar_product_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_product_op<LhsScalar, RhsScalar>::operator()(const LhsScalar&, const RhsScalar&) const [with LhsScalar = int; RhsScalar = int]’, inlined from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op<int, int>; Lhs = const Eigen::Array<int, -1, 1>; Rhs = const Eigen::Array<int, -1, 1>]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:22, inlined from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >; Func = Eigen::internal::scalar_sum_op<int, int>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> > >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:278:34, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:418:56, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:463:25, inlined from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::Array<int, -1, 1>, const Eigen::Array<int, -1, 1> >]’ at /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/Redux.h:459:1, inlined from ‘int tmbutils::array<Type>::index(tmbutils::vector<int>) [with Type = double]’ at /data/gannet/ripley/R/test-dev/TMB/include/tmbutils/array.hpp:248:26, inlined from ‘Type& tmbutils::array<Type>::operator()(int, int) [with Type = double]’ at /data/gannet/ripley/R/test-dev/TMB/include/tmbutils/array.hpp:221:43: /data/gannet/ripley/R/test-dev/RcppEigen/include/Eigen/src/Core/functors/BinaryFunctors.h:80:122: warning: ‘((const int*)result)[2]’ may be used uninitialized [-Wmaybe-uninitialized] 80 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a * b; } | ~~^~~ g++ -std=gnu++17 -shared -L/usr/local/lib64 -o tinyVAST.so tinyVAST.o make[1]: Leaving directory '/data/gannet/ripley/R/packages/tests-devel/tinyVAST/src' make[1]: Entering directory '/data/gannet/ripley/R/packages/tests-devel/tinyVAST/src' make[1]: Leaving directory '/data/gannet/ripley/R/packages/tests-devel/tinyVAST/src' installing to /data/gannet/ripley/R/packages/tests-devel/tinyVAST.Rcheck/00LOCK-tinyVAST/00new/tinyVAST/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinyVAST)