Build: #285 failed
Job: Build and Package Many Linux 2.28 Python 3.13 failed
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| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:621:35: required from ‘void {anonymous}::SolveSimultaneousEquationsByLU(size_t, const T*, const T*, T*) [with T = double; MatrixT = Eigen::Matrix<double, -1, -1>; VectorT = Eigen::Matrix<double, -1, 1>; size_t = long unsigned int]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<Eigen::internal::evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >, Eigen::internal::sub_assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >, Eigen::internal::sub_assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>; Func = Eigen::internal::sub_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:343:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/SolveTriangular.h:179:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/TriangularMatrix.h:511:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:224:100: required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:621:35: required from ‘void {anonymous}::SolveSimultaneousEquationsByLU(size_t, const T*, const T*, T*) [with T = double; MatrixT = Eigen::Matrix<double, -1, -1>; VectorT = Eigen::Matrix<double, -1, 1>; size_t = long unsigned int]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Eigen::MatrixBase<Derived>::Scalar&, Eigen::MatrixBase<Derived>::RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase<Derived>::Scalar = double; Eigen::MatrixBase<Derived>::RealScalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:538:52: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:156:7: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:232:39: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/SolveTriangular.h:182:11: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/TriangularMatrix.h:511:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:202:90: required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:621:35: required from ‘void {anonymous}::SolveSimultaneousEquationsByLU(size_t, const T*, const T*, T*) [with T = double; MatrixT = Eigen::Matrix<double, -1, -1>; VectorT = Eigen::Matrix<double, -1, 1>; size_t = long unsigned int]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:621:35: required from ‘void {anonymous}::SolveSimultaneousEquationsByLU(size_t, const T*, const T*, T*) [with T = double; MatrixT = Eigen::Matrix<double, -1, -1>; VectorT = Eigen::Matrix<double, -1, 1>; size_t = long unsigned int]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:728:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:812:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:156:7: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:232:39: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::sub_assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::sub_assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:156:7: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:232:39: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::swap_assign_op<double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::swap_assign_op<double>, 1>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Swap.h:19:7: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::swap_assign_op<double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = Eigen::internal::swap_assign_op<double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:204:7: required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::sub_assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::sub_assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/LU/FullPivLU.h:563:55: required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/LU/FullPivLU.h:121:7: required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/LU/FullPivLU.h:472:10: required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/LU/FullPivLU.h:886:10: required from ‘const Eigen::FullPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivLu() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<-1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:621:56: required from ‘void {anonymous}::SolveSimultaneousEquationsByLU(size_t, const T*, const T*, T*) [with T = double; MatrixT = Eigen::Matrix<double, -1, -1>; VectorT = Eigen::Matrix<double, -1, 1>; size_t = long unsigned int]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:156:7: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:232:39: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:473, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:324:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:460:39: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 460 | const Index offset1 = (FirstAligned && alignmentStep==1)?3:1; |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:461:39: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 461 | const Index offset3 = (FirstAligned && alignmentStep==1)?1:3; |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:324:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:460:39: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 460 | const Index offset1 = (FirstAligned && alignmentStep==1)?3:1; |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:461:39: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 461 | const Index offset3 = (FirstAligned && alignmentStep==1)?1:3; |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:204:7: required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 2>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:270:13: required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:473, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:265:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: required from ‘static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; typename Dest::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:712:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static 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::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 186 | const Index offset1 = (FirstAligned && alignmentStep==1)?3:1; |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 187 | const Index offset3 = (FirstAligned && alignmentStep==1)?1:3; |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:83:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:265:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: required from ‘static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; typename Dest::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:712:14: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static 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::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 186 | const Index offset1 = (FirstAligned && alignmentStep==1)?3:1; |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 187 | const Index offset3 = (FirstAligned && alignmentStep==1)?1:3; |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:548:35: required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:156:7: required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:232:39: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<bool, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> > >, Eigen::internal::assign_op<bool, bool> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<bool, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> > >, Eigen::internal::assign_op<bool, bool>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<bool, bool>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<bool, bool>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Func = Eigen::internal::assign_op<bool, bool>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Func = Eigen::internal::assign_op<bool, bool>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:204:7: required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 0, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1, 0, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:621:35: required from ‘void {anonymous}::SolveSimultaneousEquationsByLU(size_t, const T*, const T*, T*) [with T = double; MatrixT = Eigen::Matrix<double, -1, -1>; VectorT = Eigen::Matrix<double, -1, 1>; size_t = long unsigned int]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >, Eigen::internal::add_assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >, Eigen::internal::add_assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 8, 8, 0, 8, 8> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 8, 8, 0, 8, 8> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 8, 8, 0, 8, 8>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 8, 8, 0, 8, 8>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:223:13: required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 8, 8, 1, 8, 8> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 8, 8, 1, 8, 8> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 8, 8, 1, 8, 8>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 8, 8, 1, 8, 8>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >’: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49: required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename Eigen::internal::evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:37: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:23: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18: required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’ |
| 07-Aug-2026 18:13:56 | /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22: required from here |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 86 | MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess |
| 07-Aug-2026 18:13:56 | | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:56 | In file included from /usr/include/eigen3/Eigen/Core:420, |
| 07-Aug-2026 18:13:56 | from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36: |
| 07-Aug-2026 18:13:56 | /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context] |
| 07-Aug-2026 18:13:56 | 90 | MaySliceVectorize = bool(MightVectorize) && bool(DstHasDirectAccess) |
| 07-Aug-2026 18:13:56 | | ^~~~~~~~~~~~~~~~~~ |
| 07-Aug-2026 18:13:57 | cc1plus: note: unrecognized command-line option ‘-Wno-deprecated-register’ may have been intended to silence earlier diagnostics |
| 07-Aug-2026 18:13:57 | [100%] Linking CXX shared library libsakura.so |
| 07-Aug-2026 18:13:57 | [100%] Built target sakura |
| 07-Aug-2026 18:13:57 | Install the project... |
| 07-Aug-2026 18:13:57 | -- Install configuration: "Release" |
| 07-Aug-2026 18:13:57 | -- Installing: /source/casainstall/lib/pkgconfig/libsakura.pc |
| 07-Aug-2026 18:13:57 | -- Installing: /source/casainstall/lib/libsakura.so.5.2 |
| 07-Aug-2026 18:13:57 | -- Installing: /source/casainstall/lib/libsakura.so.5 |
| 07-Aug-2026 18:13:57 | -- Installing: /source/casainstall/lib/libsakura.so |
| 07-Aug-2026 18:13:57 | -- Installing: /source/casainstall/include/libsakura/sakura.h |
| 07-Aug-2026 18:13:57 | -- Installing: /source/casainstall/include/libsakura/config.h |
| 07-Aug-2026 18:13:57 | Installing data |
| 07-Aug-2026 18:13:57 | % Total % Received % Xferd Average Speed Time Time Time Current |
| 07-Aug-2026 18:13:57 | Dload Upload Total Spent Left Speed |
| 07-Aug-2026 18:13:57 | 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 |
| 07-Aug-2026 18:13:57 | 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 |
| 07-Aug-2026 18:13:57 | Traceback (most recent call last): |
| 07-Aug-2026 18:13:57 | File "build_casalith_cmake.py", line 111, in <module> |
| 07-Aug-2026 18:13:57 | exec_as_shell(cmd) |
| 07-Aug-2026 18:13:57 | File "build_casalith_cmake.py", line 89, in exec_as_shell |
| 07-Aug-2026 18:13:57 | output = process.stdout.readline().decode('UTF-8') |
| 07-Aug-2026 18:13:57 | File "/usr/lib64/python2.7/encodings/utf_8.py", line 16, in decode |
| 07-Aug-2026 18:13:57 | return codecs.utf_8_decode(input, errors, True) |
| 07-Aug-2026 18:13:57 | UnicodeDecodeError: 'utf8' codec can't decode byte 0x8b in position 1: invalid start byte |
| 07-Aug-2026 18:13:57 | Failing task since return code of [/export/home/cbt-el7-6/bamboohome/temp/CASASPECS-MASTERBUILDCASALITH-BPML228GP313-285-ScriptBuildTask-12145527269707430836.sh] was 1 while expected 0 |
| 07-Aug-2026 18:13:57 | Finished task 'Create casalith' with result: Failed |
| 07-Aug-2026 18:13:57 | Starting task 'Clean up' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script' |
| 07-Aug-2026 18:13:57 | Beginning to execute external process for build 'CASASPECS - Master Build Casalith - Build and Package Many Linux 2.28 Python 3.13 #285 (CASASPECS-MASTERBUILDCASALITH-BPML228GP313-285)' ... running command line: /export/home/cbt-el7-6/bamboohome/temp/CASASPECS-MASTERBUILDCASALITH-BPML228GP313-285-ScriptBuildTask-3396989183301749930.sh ... in: /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASASPECS-MASTERBUILDCASALITH-BPML228GP313 |
| 07-Aug-2026 18:13:57 | Starting cleanup |
| 07-Aug-2026 18:13:57 | Error response from daemon: No such container: build_container |
| 07-Aug-2026 18:14:07 | casalith_container |
| 07-Aug-2026 18:14:07 | Error response from daemon: No such container: build_container |
| 07-Aug-2026 18:14:08 | casalith_container |
| 07-Aug-2026 18:14:08 | Cleanup complete |
| 07-Aug-2026 18:14:08 | Finished task 'Clean up' with result: Success |
| 07-Aug-2026 18:14:08 | Running post build plugin 'Docker Container Cleanup' |
| 07-Aug-2026 18:14:08 | Beginning to execute external process for build 'CASASPECS - Master Build Casalith - Build and Package Many Linux 2.28 Python 3.13 #285 (CASASPECS-MASTERBUILDCASALITH-BPML228GP313-285)' ... running command line: /usr/bin/docker rm -f casalith_container ... in: /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASASPECS-MASTERBUILDCASALITH-BPML228GP313 |
| 07-Aug-2026 18:14:08 | Error response from daemon: No such container: casalith_container |
| 07-Aug-2026 18:14:08 | Running post build plugin 'NCover Results Collector' |
| 07-Aug-2026 18:14:08 | Running post build plugin 'Build Results Label Collector' |
| 07-Aug-2026 18:14:08 | Running post build plugin 'Clover Results Collector' |
| 07-Aug-2026 18:14:08 | Running post build plugin 'npm Cache Cleanup' |
| 07-Aug-2026 18:14:08 | Running post build plugin 'Artifact Copier' |
| 07-Aug-2026 18:14:08 | Publishing an artifact: ManyLinux228 Python 3.13 Tool wheel |
| 07-Aug-2026 18:14:08 | Failing as no matching files has been found and empty artifacts are not allowed. |
| 07-Aug-2026 18:14:08 | Unable to publish artifact [ManyLinux228 Python 3.13 Tool wheel]: |
| 07-Aug-2026 18:14:08 | The artifact is required, build will now fail. |
| 07-Aug-2026 18:14:08 | The artifact hasn't been successfully published after 49.60 ms |
| 07-Aug-2026 18:14:08 | Publishing an artifact: ManyLinux228 Python 3.13 Task wheel |
| 07-Aug-2026 18:14:08 | Failing as no matching files has been found and empty artifacts are not allowed. |
| 07-Aug-2026 18:14:08 | Unable to publish artifact [ManyLinux228 Python 3.13 Task wheel]: |
| 07-Aug-2026 18:14:08 | The artifact is required, build will now fail. |
| 07-Aug-2026 18:14:08 | The artifact hasn't been successfully published after 11.12 ms |
| 07-Aug-2026 18:14:08 | Publishing an artifact: ManyLinux228 Python 3.13 Shell wheel |
| 07-Aug-2026 18:14:08 | Failing as no matching files has been found and empty artifacts are not allowed. |
| 07-Aug-2026 18:14:08 | Unable to publish artifact [ManyLinux228 Python 3.13 Shell wheel]: |
| 07-Aug-2026 18:14:08 | The artifact hasn't been successfully published after 14.27 ms |
| 07-Aug-2026 18:14:08 | Publishing an artifact: ManyLinux228 Python 3.13 Casatestutils |
| 07-Aug-2026 18:14:08 | Failing as no matching files has been found and empty artifacts are not allowed. |
| 07-Aug-2026 18:14:08 | Unable to publish artifact [ManyLinux228 Python 3.13 Casatestutils]: |
| 07-Aug-2026 18:14:08 | The artifact is required, build will now fail. |
| 07-Aug-2026 18:14:08 | The artifact hasn't been successfully published after 11.60 ms |
| 07-Aug-2026 18:14:08 | Publishing an artifact: mpi4py Python 3.13 wheel 2.28 |
| 07-Aug-2026 18:14:08 | Failing as no matching files has been found and empty artifacts are not allowed. |
| 07-Aug-2026 18:14:08 | Unable to publish artifact [mpi4py Python 3.13 wheel 2.28]: |
| 07-Aug-2026 18:14:08 | The artifact hasn't been successfully published after 20.67 ms |
| 07-Aug-2026 18:14:08 | Finalising the build... |
| 07-Aug-2026 18:14:08 | Stopping timer. |
| 07-Aug-2026 18:14:08 | Build CASASPECS-MASTERBUILDCASALITH-BPML228GP313-285 completed. |
| 07-Aug-2026 18:14:28 | Running on server: post build plugin 'Build Hanging Detection Configuration' |
| 07-Aug-2026 18:14:28 | Running on server: post build plugin 'NCover Results Collector' |
| 07-Aug-2026 18:14:28 | Running on server: post build plugin 'Build Labeller' |
| 07-Aug-2026 18:14:28 | Running on server: post build plugin 'Clover Delta Calculator' |
| 07-Aug-2026 18:14:28 | Running on server: post build plugin 'Maven Dependencies Postprocessor' |
| 07-Aug-2026 18:14:28 | All post build plugins have finished |
| 07-Aug-2026 18:14:28 | Generating build results summary... |
| 07-Aug-2026 18:14:28 | Saving build results to disk... |
| 07-Aug-2026 18:14:28 | Store variable context... |
| 07-Aug-2026 18:14:28 | Finished building CASASPECS-MASTERBUILDCASALITH-BPML228GP313-285. |