robotpkg/math/py-eigenpy bulk build results
Log for py36-eigenpy-3.12.0 on Rocky-8-x86_64: bulk.log (Back)
=> Checking for clear installation
===> Installing bootstrap dependencies for py36-eigenpy-3.12.0
=> Installing /opt/robotpkg/var/lib/robotpkg/packages/bsd/Rocky-8-x86_64/All/digest-20080510.tgz
=> Installing /opt/robotpkg/var/lib/robotpkg/packages/bsd/Rocky-8-x86_64/All/tnftp-20151004~ssl.tgz
===> Checking bootstrap dependencies for py36-eigenpy-3.12.0
=> Required robotpkg package digest>=20080510: digest-20080510 found
=> Required robotpkg package tnftp>=20130505~ssl: tnftp-20151004~ssl found
=> Required system package gzip: gzip-1.9 found
=> Required system package patch>=2.0: patch-2.7.6~posix found
=> Required system package pax and tar archivers: pax found
=> Required system package pkg_install>=20110805.12: pkg_install-20211115.3 found
===> Done bootstrap-depends for py36-eigenpy-3.12.0
===> Installing full dependencies for py36-eigenpy-3.12.0
=> Dependency digest-20080510 already installed
=> Installing /opt/robotpkg/var/lib/robotpkg/packages/bsd/Rocky-8-x86_64/All/jrl-cmakemodules-1.1.2.tgz
=> Dependency tnftp-20151004~ssl already installed
===> Checking build options for py36-eigenpy-3.12.0
=> Building with no option.
===> Checking alternatives for py36-eigenpy-3.12.0
=> Use the GNU C++ compiler: c++-compiler provided by g++>=3
=> Use the GNU C compiler: c-compiler provided by gcc>=3
=> Use python-3.6: python>=3 provided by python36>=3.6<3.7
===> Checking dependencies for py36-eigenpy-3.12.0
=> Required system package boost-headers>=1.34.1: boost-headers-1.66 found
=> Required system package boostlib-python>=1.34.1: boost-libs-1.66.0 found
=> Required system package cmake>=3.10: cmake-3.26.5 found
=> Required system package eigen3>=3.0.0: eigen3-3.3.4 found
=> Required system package g++>=3: g++-8.5.0 found
=> Required system package gcc>=3: gcc-8.5.0 found
=> Required system package libstdc++: libstdc++ found
=> Required system package pkg-config>=0.22: pkg-config-1.4.2 found
=> Required system package py36-numpy>=1: py36-numpy-1.14.3 found
=> Required system package py36-scipy>=0.17.0: py36-scipy-1.0.0 found
=> Required system package python36>=3.6<3.7: python36-3.6.8 found
=> Required robotpkg package jrl-cmakemodules>=1.1.0: jrl-cmakemodules-1.1.2 found
===> Done depends for py36-eigenpy-3.12.0
===> Extracting for py36-eigenpy-3.12.0
=> SHA1 checksums OK
=> RMD160 checksums OK
===> Patching for py36-eigenpy-3.12.0
=> Applying robotpkg patches for py36-eigenpy-3.12.0
===> Configuring for py36-eigenpy-3.12.0
===> Building for py36-eigenpy-3.12.0
In file included from /usr/include/eigen3/Eigen/IterativeLinearSolvers:39,
from /local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0/include/eigenpy/solvers/LeastSquaresConjugateGradient.hpp:9,
from /local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0/src/solvers/least-squares-conjugate-gradient.cpp:5:
/usr/include/eigen3/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h: In instantiation of 'Eigen::LeastSquareDiagonalPreconditioner<_Scalar>& Eigen::LeastSquareDiagonalPreconditioner<_Scalar>::factorize(const MatType&) [with MatType = Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _Scalar = double]':
/usr/include/eigen3/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:221:5: required from 'Derived& Eigen::IterativeSolverBase<Derived>::factorize(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::Matrix<double, -1, -1>; Derived = Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >]'
/local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0/include/eigenpy/solvers/IterativeSolverBase.hpp:86:28: required from 'static IterativeSolver& eigenpy::IterativeSolverVisitor<IterativeSolver>::factorize(IterativeSolver&, const MatrixType&) [with IterativeSolver = Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >; eigenpy::IterativeSolverVisitor<IterativeSolver>::MatrixType = Eigen::Matrix<double, -1, -1>]'
/local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0/include/eigenpy/solvers/IterativeSolverBase.hpp:59:27: required from 'void eigenpy::IterativeSolverVisitor<IterativeSolver>::visit(PyClass&) const [with PyClass = boost::python::class_<Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >, boost::noncopyable_::noncopyable, boost::python::detail::not_specified, boost::python::detail::not_specified>; IterativeSolver = Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >]'
/usr/include/boost/python/def_visitor.hpp:31:9: required from 'static void boost::python::def_visitor_access::visit(const V&, classT&) [with V = boost::python::def_visitor<eigenpy::IterativeSolverVisitor<Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> > > >; classT = boost::python::class_<Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >, boost::noncopyable_::noncopyable, boost::python::detail::not_specified, boost::python::detail::not_specified>]'
/usr/include/boost/python/def_visitor.hpp:67:34: required from 'void boost::python::def_visitor<DerivedVisitor>::visit(classT&) const [with classT = boost::python::class_<Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >, boost::noncopyable_::noncopyable, boost::python::detail::not_specified, boost::python::detail::not_specified>; DerivedVisitor = eigenpy::IterativeSolverVisitor<Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> > >]'
/usr/include/boost/python/class.hpp:221:9: required from 'boost::python::class_<T, X1, X2, X3>::self& boost::python::class_<T, X1, X2, X3>::def(const boost::python::def_visitor<Derived>&) [with Derived = eigenpy::IterativeSolverVisitor<Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> > >; W = Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >; X1 = boost::noncopyable_::noncopyable; X2 = boost::python::detail::not_specified; X3 = boost::python::detail::not_specified; boost::python::class_<T, X1, X2, X3>::self = boost::python::class_<Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >, boost::noncopyable_::noncopyable, boost::python::detail::not_specified, boost::python::detail::not_specified>]'
/local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0/include/eigenpy/solvers/LeastSquaresConjugateGradient.hpp:38:10: required from 'static void eigenpy::LeastSquaresConjugateGradientVisitor<LeastSquaresConjugateGradient>::expose(const string&) [with LeastSquaresConjugateGradient = Eigen::LeastSquaresConjugateGradient<Eigen::Matrix<double, -1, -1>, Eigen::LeastSquareDiagonalPreconditioner<double> >; std::__cxx11::string = std::__cxx11::basic_string<char>]'
/local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0/src/solvers/least-squares-conjugate-gradient.cpp:23:7: required from here
/usr/include/eigen3/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:171:32: error: 'const class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >' has no member named 'innerVector'; did you mean 'InnerIterator'?
RealScalar sum = mat.innerVector(j).squaredNorm();
~~~~^~~~~~~~~~~
InnerIterator
make[2]: *** [CMakeFiles/eigenpy.dir/build.make:149: CMakeFiles/eigenpy.dir/src/solvers/least-squares-conjugate-gradient.cpp.o] Error 1
An unexpected error occured. The last 10 log lines are shown below.
make[1]: *** [CMakeFiles/Makefile2:1990: CMakeFiles/eigenpy.dir/all] Error 2
make: *** [Makefile:149: all] Error 2
| /local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0/src/solvers/least-squares-conjugate-gradient.cpp:23:7: required from here
| /usr/include/eigen3/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:171:32: error: 'const class Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >' has no member named 'innerVector'; did you mean 'InnerIterator'?
| RealScalar sum = mat.innerVector(j).squaredNorm();
| ~~~~^~~~~~~~~~~
| InnerIterator
| make[2]: *** [CMakeFiles/eigenpy.dir/build.make:149: CMakeFiles/eigenpy.dir/src/solvers/least-squares-conjugate-gradient.cpp.o] Error 1
| make[2]: Leaving directory '/local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0'
| make[1]: Leaving directory '/local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0'
| make[1]: *** [CMakeFiles/Makefile2:1990: CMakeFiles/eigenpy.dir/all] Error 2
| make: *** [Makefile:149: all] Error 2
=> Marking py36-eigenpy-3.12.0 as broken
For details or bug reports, check the complete log file in:
/local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/build.log
make[3]: *** [/local/robotpkg/var/lib/robotpkg/mk/build/build.mk:204: do-build-make(/local/robotpkg/var/tmp/robotpkg/math/py-eigenpy/work/eigenpy-3.12.0)] Error 2
make[2]: *** [/local/robotpkg/var/lib/robotpkg/mk/pkg/package.mk:42: pkg-check-installed] Error 2
ERROR: make: *** [package] Error 2
===> Deinstalling for py36-eigenpy
Removed digest-20080510
Removed jrl-cmakemodules-1.1.2
Removed tnftp-20151004~ssl