Package: src:r-cran-openmx Version: 2.22.10+dfsg-1 Severity: serious Tags: ftbfs forky sid
Dear maintainer: During a rebuild of all packages in unstable, this package failed to build. Below you will find the last part of the build log (probably the most relevant part, but not necessarily). If required, the full build log is available here: https://people.debian.org/~sanvila/build-logs/202602/ About the archive rebuild: The build was made on virtual machines from AWS, using sbuild and a reduced chroot with only build-essential packages. If you cannot reproduce the bug please contact me privately, as I am willing to provide ssh access to a virtual machine where the bug is fully reproducible. If this is really a bug in one of the build-depends, please use reassign and add an affects on src:r-cran-openmx, so that this is still visible in the BTS web page for this package. Thanks. -------------------------------------------------------------------------------- [...] debian/rules clean dh clean --buildsystem R dh_auto_clean -O--buildsystem=R dh_autoreconf_clean -O--buildsystem=R dh_clean -O--buildsystem=R debian/rules binary dh binary --buildsystem R dh_update_autotools_config -O--buildsystem=R dh_autoreconf -O--buildsystem=R dh_auto_configure -O--buildsystem=R dh_auto_build -O--buildsystem=R dh_auto_test -O--buildsystem=R create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=R dh_prep -O--buildsystem=R [... snipped ...] 227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:254:65: required from âstatic void Eigen::internal::selfadjoint_product_impl<Lhs, 0, true, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int RhsMode = 18; Scalar = double]â 253 | selfadjoint_product_impl<Transpose<const Rhs>, int(RhsUpLo)==Upper ? Lower : Upper, false, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 254 | Transpose<const Lhs>, 0, true>::run(destT, a_rhs.transpose(), a_lhs.transpose(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:818:109: required from âstatic void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SelfAdjointShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; int ProductTag = 7; Scalar = double]â 818 | selfadjoint_product_impl<Lhs,0,Lhs::IsVectorAtCompileTime,typename Rhs::MatrixType,Rhs::Mode,false>::run(dst, lhs, rhs.nestedExpression(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from âstatic void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::DenseShape, Eigen::SelfAdjointShape, 7>; Scalar = double]â 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from âstatic void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::DenseShape, Eigen::SelfAdjointShape, 7>]â 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from âtypename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]â 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from âstatic void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >]â 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Pro [too-long-redacted] ::Matrix<double, -1, 1> >, 0>]â 124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from âEigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>]â 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from âEigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]â 137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ssMLFit.cpp:149:73: required from here 149 | Q = EcontRow.transpose() * EsmallCov.selfadjointView<Eigen::Upper>() * EcontRow; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] 62 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] 63 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:166: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of âIndex Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = int]â: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from âstatic void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]â 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from âstatic void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int LhsMode = 1; Rhs = Eigen::Transpose<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]â 227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:254:65: required from âstatic void Eigen::internal::selfadjoint_product_impl<Lhs, 0, true, Rhs, RhsMode, false>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int RhsMode = 18; Scalar = double]â 253 | selfadjoint_product_impl<Transpose<const Rhs>, int(RhsUpLo)==Upper ? Lower : Upper, false, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 254 | Transpose<const Lhs>, 0, true>::run(destT, a_rhs.transpose(), a_lhs.transpose(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:818:109: required from âstatic void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SelfAdjointShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; int ProductTag = 7; Scalar = double]â 818 | selfadjoint_product_impl<Lhs,0,Lhs::IsVectorAtCompileTime,typename Rhs::MatrixType,Rhs::Mode,false>::run(dst, lhs, rhs.nestedExpression(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from âstatic void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::DenseShape, Eigen::SelfAdjointShape, 7>; Scalar = double]â 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from âtypename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]â 463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from âstatic void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >]â 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Pro [too-long-redacted] ::Matrix<double, -1, 1> >, 0>]â 124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from âEigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>]â 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from âEigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]â 137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ssMLFit.cpp:149:73: required from here 149 | Q = EcontRow.transpose() * EsmallCov.selfadjointView<Eigen::Upper>() * EcontRow; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] 500 | return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size); | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of âstatic void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = int; int StorageOrder = 0; int UpLo = 2; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]â: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from âstatic void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int LhsMode = 18; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double]â 227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from âstatic void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; int ProductTag = 7; Scalar = double]â 805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from âstatic void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]â 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from âstatic void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]â 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Pro [too-long-redacted] ::Matrix<double, -1, 1> >, 0>]â 124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ass [too-long-redacted] <double, double>; Weak = void]â 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from âvoid Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Func = assign_op<double, double>]â 890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ass [too-long-redacted] e>::Shape = Eigen::DenseShape]â 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from âvoid Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >]â 836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from âDerived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SelfAdjointView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]â 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ omxMatrix.h:461:86: required from here 461 | Eresult.derived() = alpha * (Emat.selfadjointView<Eigen::Upper>() * Evec).array() + beta; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] 62 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] 63 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument âEigen::internal::packet_traits<double>::typeâ {aka â__m128dâ} [-Wignored-attributes] gcc -I"/usr/share/R/include" -DNDEBUG -I'/usr/lib/R/site-library/Rcpp/include' -I'/usr/lib/R/site-library/RcppEigen/include' -I'/usr/lib/R/site-library/RcppParallel/include' -I'/usr/lib/R/site-library/StanHeaders/include' -I'/usr/lib/R/site-library/BH/include' -I'/usr/lib/R/site-library/rpf/include' -I'/usr/lib/R/library/Matrix/include' -DSTRICT_R_HEADERS -fpic -g -O2 -ffile-prefix-map=/build/reproducible-path/r-base-4.5.2=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -c stop.c -o stop.o g++ -std=gnu++17 -shared -L/usr/lib/R/lib -Wl,-z,relro -o Op [too-long-redacted] -lquadmath -L/usr/lib/R/lib -lR mkdir -p ../inst/debug cp *.gcno ../inst/debug/ cp: cannot stat '*.gcno': No such file or directory make[1]: [Makevars:95: save-gcno] Error 1 (ignored) make[1]: Leaving directory '/<<PKGBUILDDIR>>/src' make[1]: Entering directory '/<<PKGBUILDDIR>>/src' make[1]: Leaving directory '/<<PKGBUILDDIR>>/src' installing to /<<PKGBUILDDIR>>/debian/r-cran-openmx/usr/lib/R/site-library/00LOCK-r-cran-openmx-2.22.10+dfsg/00new/OpenMx/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ânrowâ from package âbaseâ in package âOpenMxâ Creating a generic function for âncolâ from package âbaseâ in package âOpenMxâ ** help *** installing help indices *** copying figures ** 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 (OpenMx) W: Ignoring specified R dependency: R (>= 3.5.0) I: Using r-cran-mvtnorm for Recommends:mvtnorm I: Using r-cran-numderiv for Recommends:numderiv I: Using r-cran-roxygen2 for Recommends:roxygen2 (>= 6.1) I: Using r-cran-snowfall for Recommends:snowfall I: Using r-cran-lme4 by changing version to for Recommends:lme4 I: Using r-cran-covr for Recommends:covr I: Using r-cran-testthat for Recommends:testthat I: Using r-cran-knitr for Recommends:knitr I: Using r-cran-markdown for Recommends:markdown I: Using r-cran-rmarkdown for Recommends:rmarkdown I: Using r-cran-reshape2 for Recommends:reshape2 I: Using r-cran-ggplot2 for Recommends:ggplot2 I: Using r-cran-roxygen2 for Suggests:roxygen2 (>= 6.1) I: Using r-cran-rpf for Suggests:rpf (>= 0.45) W: Cannot find a debian package for Suggests:umx W: Cannot find a debian package for Suggests:ifaTools I: Using r-cran-digest for Imports:digest I: Using r-cran-mass for Imports:MASS I: Version replacement between package version 1.2-16 and Debian version 1.7-4-1+b1 suspicious. Do not replace anything. I: Using r-cran-matrix by changing version to (>= 1.2-16) for Imports:Matrix (>= 1.2-16) I: Using r-cran-rcpp for Imports:Rcpp I: Using r-cran-rcppparallel for Imports:RcppParallel I: Using r-cran-lifecycle for Imports:lifecycle I: Using r-cran-rcpp for LinkingTo:Rcpp I: Using r-cran-rcppeigen for LinkingTo:RcppEigen (>= 0.3.3.9.4) I: Using r-cran-rcppparallel for LinkingTo:RcppParallel I: Using r-cran-stanheaders for LinkingTo:StanHeaders (>= 2.10.0.2) I: Using r-cran-bh for LinkingTo:BH (>= 1.69.0-1) I: Using r-cran-rpf for LinkingTo:rpf (>= 0.45) I: Using r-cran-matrix by changing version to for LinkingTo:Matrix I: Use r-cran-openmx as Debian binary package for variables substitution dh_installdocs -O--buildsystem=R dh_installchangelogs -O--buildsystem=R dh_installsystemduser -O--buildsystem=R dh_lintian -O--buildsystem=R dh_perl -O--buildsystem=R dh_link -O--buildsystem=R dh_strip_nondeterminism -O--buildsystem=R dh_compress -O--buildsystem=R debian/rules override_dh_fixperms make[1]: Entering directory '/<<PKGBUILDDIR>>' dh_fixperms find debian \( -name "*.R" -o -name "*.txt" \) -exec chmod -x \{\} \; make[1]: Leaving directory '/<<PKGBUILDDIR>>' dh_missing -O--buildsystem=R dh_dwz -a -O--buildsystem=R dh_strip -a -O--buildsystem=R dh_makeshlibs -a -O--buildsystem=R dh_shlibdeps -a -O--buildsystem=R dpkg-shlibdeps: warning: diversions involved - output may be incorrect diversion by libc6 from: /lib64/ld-linux-x86-64.so.2 dpkg-shlibdeps: warning: diversions involved - output may be incorrect diversion by libc6 to: /lib64/ld-linux-x86-64.so.2.usr-is-merged dh_installdeb -O--buildsystem=R debian/rules override_dh_gencontrol make[1]: Entering directory '/<<PKGBUILDDIR>>' rmbversion=`dpkg -l r-cran-matrix | grep 'ii' | sed 's/^.*r-cran-matrix[[:space:]]\+\([0-9.-]\+\)[[:space:]]\+.*/\1/'`; \ sed -i "s/r-cran-matrix ([^)]\+)/r-cran-matrix (>= ${rmbversion})/" debian/*substvars rversion=`dpkg -l r-base-core | grep 'ii' | sed 's/^.*r-base-core[[:space:]]\+\([0-9.-]\+\)-[0-9+b]\+[[:space:]]\+.*/\1/'`; \ sed -i "s/\(r-api-[0-9.]\+\),/& r-base-core (>= ${rversion})/" debian/*substvars dh_gencontrol dpkg-gencontrol: warning: cannot parse dependency r-cran-matrix (>= ii r-cran-matrix 1.7-4-1+b1 amd64 GNU R package of classes for dense and sparse matrices) dpkg-gencontrol: error: parsing package 'r-cran-openmx' Depends field: r-api-4.0, r-base-core (>= 4.5.2) , , , r-cran-digest, r-cran-mass, r-cran-matrix (>= ii r-cran-matrix 1.7-4-1+b1 amd64 GNU R package of classes for dense and sparse matrices), r-cran-rcpp, r-cran-rcppparallel, r-cran-lifecycle, r-cran-rcpp, r-cran-rcppeigen (>= 0.3.3.9.4), r-cran-rcppparallel, r-cran-stanheaders (>= 2.10.0.2), r-cran-bh (>= 1.69.0-1), r-cran-rpf (>= 0.45), r-cran-matrix, libc6 (>= 2.38), libgcc-s1 (>= 4.0), libgomp1 (>= 6), libstdc++6 (>= 14), libtbb12 (>= 2021.4.0), , python3 dh_gencontrol: error: dh_gencontrol: error: dpkg-gencontrol -pr-cran-openmx -ldebian/changelog -Tdebian/r-cran-openmx.substvars -cdebian/control -Pdebian/.debhelper/r-cran-openmx/dbgsym-root -UPre-Depends -URecommends -USuggests -UEnhances -UProvides -UEssential -UConflicts -DPriority=optional -UHomepage -UImportant -DAuto-Built-Package=debug-symbols -UProtected -UBuilt-Using -UStatic-Built-Using -DPackage=r-cran-openmx-dbgsym -DDepends="r-cran-openmx (= \${binary:Version})" -DDescription="debug symbols for r-cran-openmx" -DBuild-Ids=3a3dbaf0a28ee21cb4c892ea01d6a8595bae283d -DSection=debug -UMulti-Arch -UReplaces -UBreaks returned exit code 25 dh_gencontrol: error: Aborting due to earlier error make[1]: *** [debian/rules:13: override_dh_gencontrol] Error 25 make[1]: Leaving directory '/<<PKGBUILDDIR>>' make: *** [debian/rules:4: binary] Error 2 dpkg-buildpackage: error: debian/rules binary subprocess failed with exit status 2 --------------------------------------------------------------------------------
