Bug#1141213: marked as done (yade: FTBFS: /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:42:91: error: '.Eigen::Matrix::.Eigen::PlainObjectBase >::m_storage.Eigen::DenseStorage::m_data.Eigen::internal::plain_array::array[2]' may be used uninitialized [-Werror=maybe-uninitialized])

Tue, 28 Jul 2026 01:23:21 -0700 

Your message dated Tue, 28 Jul 2026 08:21:43 +0000
with message-id <[email protected]>
and subject line Bug#1141213: fixed in yade 2026.1.0-6
has caused the Debian Bug report #1141213,
regarding yade: FTBFS: 
/usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:42:91: error: 
'<unnamed>.Eigen::Matrix<double, 3, 1, 0, 3, 
1>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1, 0, 3, 1> 
>::m_storage.Eigen::DenseStorage<double, 3, 3, 1, 
0>::m_data.Eigen::internal::plain_array<double, 3, 0, 0>::array[2]' may be used 
uninitialized [-Werror=maybe-uninitialized]
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

(NB: If you are a system administrator and have no idea what this
message is talking about, this may indicate a serious mail system
misconfiguration somewhere. Please contact [email protected]
immediately.)


-- 
1141213: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1141213
Debian Bug Tracking System
Contact [email protected] with problems
--- Begin Message --- 
Package: src:yade
Version: 2026.1.0-4
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/202607/

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:yade, so that this is still
visible in the BTS web page for this package.

Thanks.

--------------------------------------------------------------------------------
[...]
[ 51%] Building CXX object CMakeFiles/pkg_dem.dir/pkg/dem/ViscoelasticPM.cpp.o
/usr/bin/x86_64-linux-gnu-g++ -DBOOST_ATOMIC_DYN_LINK -DBOOS 
[too-long-redacted] IR>>/pkg/dem/ViscoelasticPM.cpp
In file included from /usr/include/eigen3/Eigen/Core:253,
                 from /<<PKGBUILDDIR>>/lib/high-precision/Real.hpp:101,
                 from /<<PKGBUILDDIR>>/lib/base/Math.hpp:12,
                 from /<<PKGBUILDDIR>>/core/Dispatching.hpp:2,
                 from /<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.hpp:7,
                 from /<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp:2:
In member function ‘Eigen::internal::scalar_sum_op<LhsScalar, 
RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, 
RhsScalar>::operator()(const LhsScalar&, const RhsScalar&) const [with 
LhsScalar = double; RhsScalar = double]’,
    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, 
Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, 
double>; Lhs = const Eigen::Matrix<double, 3, 1>; Rhs = const 
Eigen::Matrix<double, 3, 1>]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:22,
    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, 
Eigen::Index) const [with BinaryOp = 
Eigen::internal::scalar_difference_op<double, double>; Lhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >; Rhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:40,
    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, 
Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, 
double>; Lhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >; Rhs = const 
Eigen::Matrix<double, 3, 1>]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:40,
    inlined from ‘Eigen::internal::binary_evaluator<Eigen::C 
[too-long-redacted] c/Core/CoreEvaluators.h:769:40,
    inlined from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType 
Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, 
Eigen::Index) const [with _XprType = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Redux.h:381:23,
    inlined from ‘static Eigen::internal::redux_novec_unroll 
[too-long-redacted] /Eigen/src/Core/Redux.h:128:34,
    inlined from ‘static Eigen::internal::redux_novec_unroll 
[too-long-redacted] /Eigen/src/Core/Redux.h:111:96,
    inlined from ‘static Eigen::internal::redux_novec_unroll 
[too-long-redacted] /Eigen/src/Core/Redux.h:111:96,
    inlined from ‘static Eigen::internal::redux_impl<Func, E 
[too-long-redacted] /Eigen/src/Core/Redux.h:222:21,
    inlined from ‘typename Eigen::internal::traits<T>::Scalar 
Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = 
Eigen::internal::scalar_sum_op<double, double>; Derived = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/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_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
    inlined from ‘static Eigen::internal::dot_nocheck<T, U, 
NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, 
NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const 
Eigen::MatrixBase<U>&) [with T = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >; U = Eigen::Matrix<double, 3, 1>; bool 
NeedToTranspose = false]’ at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
    inlined from ‘typename Eigen::ScalarBinaryOpTraits<typename 
Eigen::internal::traits<T>::Scalar, typename 
Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType 
Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const 
[with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
    inlined from ‘virtual void 
yade::Ip2_ViscElMat_ViscElMat_ViscElPhys::Calculate_ViscElMat_ViscElMat_ViscElPhys(const
 boost::shared_ptr<yade::Material>&, const boost::shared_ptr<yade::Material>&, 
const boost::shared_ptr<yade::Interaction>&, 
boost::shared_ptr<yade::ViscElPhys>)’ at 
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp:276:53:
/usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:42:91: error: 
‘<unnamed>.Eigen::Matrix<double, 3, 1, 0, 3, 
1>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1, 0, 3, 1> 
>::m_storage.Eigen::DenseStorage<double, 3, 3, 1, 
0>::m_data.Eigen::internal::plain_array<double, 3, 0, 0>::array[2]’ may be 
used uninitialized [-Werror=maybe-uninitialized]
   42 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const 
LhsScalar& a, const RhsScalar& b) const { return a + b; }
      |                                                                         
                ~~^~~
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp: In member function ‘virtual void 
yade::Ip2_ViscElMat_ViscElMat_ViscElPhys::Calculate_ViscElMat_ViscElMat_ViscElPhys(const
 boost::shared_ptr<yade::Material>&, const boost::shared_ptr<yade::Material>&, 
const boost::shared_ptr<yade::Interaction>&, 
boost::shared_ptr<yade::ViscElPhys>)’:
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp:275:90: note: ‘<anonymous>’ 
declared here
  275 |                                 const auto relativeVelocity = (de1.vel 
+ de1.angVel.cross(c1x)) - (de2.vel + de2.angVel.cross(c2x)) + shiftVel;
      |                                                                         
 ~~~~~~~~~~~~~~~~^~~~~
In member function ‘Eigen::internal::scalar_sum_op<LhsScalar, 
RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, 
RhsScalar>::operator()(const LhsScalar&, const RhsScalar&) const [with 
LhsScalar = double; RhsScalar = double]’,
    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, 
Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, 
double>; Lhs = const Eigen::Matrix<double, 3, 1>; Rhs = const 
Eigen::Matrix<double, 3, 1>]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:22,
    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, 
Eigen::Index) const [with BinaryOp = 
Eigen::internal::scalar_difference_op<double, double>; Lhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >; Rhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:40,
    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, 
Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, 
double>; Lhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >; Rhs = const 
Eigen::Matrix<double, 3, 1>]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:40,
    inlined from ‘Eigen::internal::binary_evaluator<Eigen::C 
[too-long-redacted] c/Core/CoreEvaluators.h:769:40,
    inlined from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType 
Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, 
Eigen::Index) const [with _XprType = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Redux.h:381:23,
    inlined from ‘static Eigen::internal::redux_novec_unroll 
[too-long-redacted] /Eigen/src/Core/Redux.h:128:34,
    inlined from ‘static Eigen::internal::redux_novec_unroll 
[too-long-redacted] /Eigen/src/Core/Redux.h:110:78,
    inlined from ‘static Eigen::internal::redux_novec_unroll 
[too-long-redacted] /Eigen/src/Core/Redux.h:111:96,
    inlined from ‘static Eigen::internal::redux_impl<Func, E 
[too-long-redacted] /Eigen/src/Core/Redux.h:222:21,
    inlined from ‘typename Eigen::internal::traits<T>::Scalar 
Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = 
Eigen::internal::scalar_sum_op<double, double>; Derived = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/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_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
    inlined from ‘static Eigen::internal::dot_nocheck<T, U, 
NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, 
NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const 
Eigen::MatrixBase<U>&) [with T = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >; U = Eigen::Matrix<double, 3, 1>; bool 
NeedToTranspose = false]’ at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
    inlined from ‘typename Eigen::ScalarBinaryOpTraits<typename 
Eigen::internal::traits<T>::Scalar, typename 
Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType 
Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const 
[with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
    inlined from ‘virtual void 
yade::Ip2_ViscElMat_ViscElMat_ViscElPhys::Calculate_ViscElMat_ViscElMat_ViscElPhys(const
 boost::shared_ptr<yade::Material>&, const boost::shared_ptr<yade::Material>&, 
const boost::shared_ptr<yade::Interaction>&, 
boost::shared_ptr<yade::ViscElPhys>)’ at 
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp:276:53:
/usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:42:91: error: 
‘<unnamed>.Eigen::Matrix<double, 3, 1, 0, 3, 
1>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1, 0, 3, 1> 
>::m_storage.Eigen::DenseStorage<double, 3, 3, 1, 
0>::m_data.Eigen::internal::plain_array<double, 3, 0, 0>::array[1]’ may be 
used uninitialized [-Werror=maybe-uninitialized]
   42 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const 
LhsScalar& a, const RhsScalar& b) const { return a + b; }
      |                                                                         
                ~~^~~
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp: In member function ‘virtual void 
yade::Ip2_ViscElMat_ViscElMat_ViscElPhys::Calculate_ViscElMat_ViscElMat_ViscElPhys(const
 boost::shared_ptr<yade::Material>&, const boost::shared_ptr<yade::Material>&, 
const boost::shared_ptr<yade::Interaction>&, 
boost::shared_ptr<yade::ViscElPhys>)’:
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp:275:90: note: ‘<anonymous>’ 
declared here
  275 |                                 const auto relativeVelocity = (de1.vel 
+ de1.angVel.cross(c1x)) - (de2.vel + de2.angVel.cross(c2x)) + shiftVel;
      |                                                                         
 ~~~~~~~~~~~~~~~~^~~~~
In member function ‘Eigen::internal::scalar_sum_op<LhsScalar, 
RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, 
RhsScalar>::operator()(const LhsScalar&, const RhsScalar&) const [with 
LhsScalar = double; RhsScalar = double]’,
    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, 
Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, 
double>; Lhs = const Eigen::Matrix<double, 3, 1>; Rhs = const 
Eigen::Matrix<double, 3, 1>]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:22,
    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, 
Eigen::Index) const [with BinaryOp = 
Eigen::internal::scalar_difference_op<double, double>; Lhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >; Rhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:40,
    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, 
Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, 
double>; Lhs = const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >; Rhs = const 
Eigen::Matrix<double, 3, 1>]’ at 
/usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:769:40,
    inlined from ‘Eigen::internal::binary_evaluator<Eigen::C 
[too-long-redacted] c/Core/CoreEvaluators.h:769:40,
    inlined from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType 
Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, 
Eigen::Index) const [with _XprType = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Redux.h:381:23,
    inlined from ‘static Eigen::internal::redux_novec_unroll 
[too-long-redacted] /Eigen/src/Core/Redux.h:128:34,
    inlined from ‘static Eigen::internal::redux_novec_unroll 
[too-long-redacted] /Eigen/src/Core/Redux.h:110:78,
    inlined from ‘static Eigen::internal::redux_impl<Func, E 
[too-long-redacted] /Eigen/src/Core/Redux.h:222:21,
    inlined from ‘typename Eigen::internal::traits<T>::Scalar 
Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = 
Eigen::internal::scalar_sum_op<double, double>; Derived = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/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_conj_product_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, 
double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, 
double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> 
>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >, const Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
    inlined from ‘static Eigen::internal::dot_nocheck<T, U, 
NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, 
NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const 
Eigen::MatrixBase<U>&) [with T = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >; U = Eigen::Matrix<double, 3, 1>; bool 
NeedToTranspose = false]’ at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
    inlined from ‘typename Eigen::ScalarBinaryOpTraits<typename 
Eigen::internal::traits<T>::Scalar, typename 
Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType 
Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const 
[with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 
const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, 
const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, const 
Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 
Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, const 
Eigen::Matrix<double, 3, 1> >]’ at 
/usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
    inlined from ‘virtual void 
yade::Ip2_ViscElMat_ViscElMat_ViscElPhys::Calculate_ViscElMat_ViscElMat_ViscElPhys(const
 boost::shared_ptr<yade::Material>&, const boost::shared_ptr<yade::Material>&, 
const boost::shared_ptr<yade::Interaction>&, 
boost::shared_ptr<yade::ViscElPhys>)’ at 
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp:276:53:
/usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:42:91: error: 
‘<unnamed>.Eigen::Matrix<double, 3, 1, 0, 3, 
1>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1, 0, 3, 1> 
>::m_storage.Eigen::DenseStorage<double, 3, 3, 1, 
0>::m_data.Eigen::internal::plain_array<double, 3, 0, 0>::array[0]’ may be 
used uninitialized [-Werror=maybe-uninitialized]
   42 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const 
LhsScalar& a, const RhsScalar& b) const { return a + b; }
      |                                                                         
                ~~^~~
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp: In member function ‘virtual void 
yade::Ip2_ViscElMat_ViscElMat_ViscElPhys::Calculate_ViscElMat_ViscElMat_ViscElPhys(const
 boost::shared_ptr<yade::Material>&, const boost::shared_ptr<yade::Material>&, 
const boost::shared_ptr<yade::Interaction>&, 
boost::shared_ptr<yade::ViscElPhys>)’:
/<<PKGBUILDDIR>>/pkg/dem/ViscoelasticPM.cpp:275:90: note: ‘<anonymous>’ 
declared here
  275 |                                 const auto relativeVelocity = (de1.vel 
+ de1.angVel.cross(c1x)) - (de2.vel + de2.angVel.cross(c2x)) + shiftVel;
      |                                                                         
 ~~~~~~~~~~~~~~~~^~~~~
cc1plus: all warnings being treated as errors
make[4]: *** [CMakeFiles/pkg_dem.dir/build.make:852: 
CMakeFiles/pkg_dem.dir/pkg/dem/ViscoelasticPM.cpp.o] Error 1
make[4]: Leaving directory '/<<PKGBUILDDIR>>/debian/build-double'
make[3]: *** [CMakeFiles/Makefile2:327: CMakeFiles/pkg_dem.dir/all] Error 2
make[3]: Leaving directory '/<<PKGBUILDDIR>>/debian/build-double'
make[2]: *** [Makefile:139: all] Error 2
make[2]: Leaving directory '/<<PKGBUILDDIR>>/debian/build-double'
dh_auto_build: error: cd debian/build-double && make -j1 INSTALL="install 
--strip-program=true" VERBOSE=1 returned exit code 2
make[1]: *** [debian/rules:72: override_dh_auto_build] Error 25
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
make: *** [debian/rules:24: binary] Error 2
dpkg-buildpackage: error: debian/rules binary subprocess failed with exit 
status 2
--------------------------------------------------------------------------------

--- End Message ---
--- Begin Message --- 
Source: yade
Source-Version: 2026.1.0-6
Done: Anton Gladky <[email protected]>

We believe that the bug you reported is fixed in the latest version of
yade, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to [email protected],
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Anton Gladky <[email protected]> (supplier of updated yade package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing [email protected])


-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512

Format: 1.8
Date: Tue, 28 Jul 2026 09:59:46 +0200
Source: yade
Architecture: source
Version: 2026.1.0-6
Distribution: unstable
Urgency: medium
Maintainer: Debian Science Maintainers 
<[email protected]>
Changed-By: Anton Gladky <[email protected]>
Closes: 1136335 1141213
Changes:
 yade (2026.1.0-6) unstable; urgency=medium
 .
   * [e37ecfe] fix(debian): backport Eigen 5 and VTK 9.6 fixes from
               experimental. (Closes: #1141213, #1136335)
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--- End Message ---

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