Build #41

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07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:812:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:164:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:164:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:473,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:460:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 460 |   const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
07-Aug-2026 09:22:28 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:461:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 461 |   const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
07-Aug-2026 09:22:28 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:460:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 460 |   const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
07-Aug-2026 09:22:28 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:461:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 461 |   const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
07-Aug-2026 09:22:28 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:473,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 186 |   const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
07-Aug-2026 09:22:28 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 187 |   const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
07-Aug-2026 09:22:28 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 186 |   const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
07-Aug-2026 09:22:28 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 187 |   const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
07-Aug-2026 09:22:28 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:28 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:28 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Aug-2026 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /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 09:22:28 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
07-Aug-2026 09:22:28 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:28 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Aug-2026 09:22:28 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:28 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Aug-2026 09:22:29 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
07-Aug-2026 09:22:29 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Aug-2026 09:22:29 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Aug-2026 09:22:29 |                                                       ^~~~~~~~~~~~~~~~~~
07-Aug-2026 09:22:29 cc1plus: note: unrecognized command-line option ‘-Wno-deprecated-register’ may have been intended to silence earlier diagnostics
07-Aug-2026 09:22:29 [ 85%] Building CXX object bin/CMakeFiles/sakura.dir/mask_edge.cc.o
07-Aug-2026 09:22:29 [ 92%] Building CXX object bin/CMakeFiles/sakura.dir/concurrent.cc.o
07-Aug-2026 09:22:29 [100%] Linking CXX shared library libsakura.so
07-Aug-2026 09:22:29 [100%] Built target sakura
07-Aug-2026 09:22:29 Install the project...
07-Aug-2026 09:22:29 -- Install configuration: "Release"
07-Aug-2026 09:22:29 -- Installing: /source/casainstall/lib/pkgconfig/libsakura.pc
07-Aug-2026 09:22:29 -- Installing: /source/casainstall/lib/libsakura.so.5.2
07-Aug-2026 09:22:29 -- Installing: /source/casainstall/lib/libsakura.so.5
07-Aug-2026 09:22:29 -- Installing: /source/casainstall/lib/libsakura.so
07-Aug-2026 09:22:29 -- Installing: /source/casainstall/include/libsakura/sakura.h
07-Aug-2026 09:22:29 -- Installing: /source/casainstall/include/libsakura/config.h
07-Aug-2026 09:22:29 Installing data
07-Aug-2026 09:22:29 % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
07-Aug-2026 09:22:29 Dload  Upload   Total   Spent    Left  Speed
07-Aug-2026 09:22:29 0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
07-Aug-2026 09:22:29   0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
07-Aug-2026 09:22:29 Traceback (most recent call last):
07-Aug-2026 09:22:29   File "build_casalith_cmake.py", line 111, in <module>
07-Aug-2026 09:22:29     exec_as_shell(cmd)
07-Aug-2026 09:22:29   File "build_casalith_cmake.py", line 89, in exec_as_shell
07-Aug-2026 09:22:29     output = process.stdout.readline().decode('UTF-8')
07-Aug-2026 09:22:29 UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8b in position 80: invalid start byte
07-Aug-2026 09:22:29 Failing task since return code of [/export/home/cbt-el7-7/bamboohome/temp/CASASPECS-CASACORE-BUILDLINUX-41-ScriptBuildTask-12091893591660021406.sh] was 1 while expected 0
07-Aug-2026 09:22:29 Finished task 'Create casalith' with result: Failed
07-Aug-2026 09:22:29 Starting task 'Clean up' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script'
07-Aug-2026 09:22:29
Beginning to execute external process for build 'CASASPECS - Casacore CI - Build and Package ManyLinux 2.28 #41 (CASASPECS-CASACORE-BUILDLINUX-41)'
... running command line:
/export/home/cbt-el7-7/bamboohome/temp/CASASPECS-CASACORE-BUILDLINUX-41-ScriptBuildTask-10310859977095811027.sh
... in: /export/home/cbt-el7-7/bamboohome/xml-data/build-dir/CASASPECS-CASACORE-BUILDLINUX
07-Aug-2026 09:22:29 Starting cleanup
07-Aug-2026 09:22:29 Error response from daemon: No such container: build_container
07-Aug-2026 09:22:41 casalith_container
07-Aug-2026 09:22:41 Error response from daemon: No such container: build_container
07-Aug-2026 09:22:41 casalith_container
07-Aug-2026 09:22:41 Cleanup complete
07-Aug-2026 09:22:41 Finished task 'Clean up' with result: Success
07-Aug-2026 09:22:41 Running post build plugin 'Docker Container Cleanup'
07-Aug-2026 09:22:41
Beginning to execute external process for build 'CASASPECS - Casacore CI - Build and Package ManyLinux 2.28 #41 (CASASPECS-CASACORE-BUILDLINUX-41)'
... running command line:
/usr/bin/docker rm -f casalith_container
... in: /export/home/cbt-el7-7/bamboohome/xml-data/build-dir/CASASPECS-CASACORE-BUILDLINUX
07-Aug-2026 09:22:41 Error response from daemon: No such container: casalith_container
07-Aug-2026 09:22:41 Running post build plugin 'NCover Results Collector'
07-Aug-2026 09:22:41 Running post build plugin 'Build Results Label Collector'
07-Aug-2026 09:22:41 Running post build plugin 'Clover Results Collector'
07-Aug-2026 09:22:42 Running post build plugin 'npm Cache Cleanup'
07-Aug-2026 09:22:42 Running post build plugin 'Artifact Copier'
07-Aug-2026 09:22:42 Publishing an artifact: ManyLinux228 Python 3.12 Tool wheel
07-Aug-2026 09:22:42 Failing as no matching files has been found and empty artifacts are not allowed.
07-Aug-2026 09:22:42 Unable to publish artifact [ManyLinux228 Python 3.12 Tool wheel]:
07-Aug-2026 09:22:42 The artifact is required, build will now fail.
07-Aug-2026 09:22:42 The artifact hasn't been successfully published after 84.89 ms
07-Aug-2026 09:22:42 Publishing an artifact: ManyLinux228  Python 3.12 Task wheel
07-Aug-2026 09:22:42 Failing as no matching files has been found and empty artifacts are not allowed.
07-Aug-2026 09:22:42 Unable to publish artifact [ManyLinux228  Python 3.12 Task wheel]:
07-Aug-2026 09:22:42 The artifact is required, build will now fail.
07-Aug-2026 09:22:42 The artifact hasn't been successfully published after 18.12 ms
07-Aug-2026 09:22:42 Publishing an artifact: ManyLinux228 Python 3.12 Shell wheel
07-Aug-2026 09:22:42 Failing as no matching files has been found and empty artifacts are not allowed.
07-Aug-2026 09:22:42 Unable to publish artifact [ManyLinux228 Python 3.12 Shell wheel]:
07-Aug-2026 09:22:42 The artifact is required, build will now fail.
07-Aug-2026 09:22:42 The artifact hasn't been successfully published after 10.76 ms
07-Aug-2026 09:22:42 Publishing an artifact: ManyLinux228 Python 3.12 Tar 2
07-Aug-2026 09:22:42 Failing as no matching files has been found and empty artifacts are not allowed.
07-Aug-2026 09:22:42 Unable to publish artifact [ManyLinux228 Python 3.12 Tar 2]:
07-Aug-2026 09:22:42 The artifact is required, build will now fail.
07-Aug-2026 09:22:42 The artifact hasn't been successfully published after 13.82 ms
07-Aug-2026 09:22:42 Publishing an artifact: ManyLinux228 Casatestutils
07-Aug-2026 09:22:42 Failing as no matching files has been found and empty artifacts are not allowed.
07-Aug-2026 09:22:42 Unable to publish artifact [ManyLinux228 Casatestutils]:
07-Aug-2026 09:22:42 The artifact is required, build will now fail.
07-Aug-2026 09:22:42 The artifact hasn't been successfully published after 14.82 ms
07-Aug-2026 09:22:42 Finalising the build...
07-Aug-2026 09:22:42 Stopping timer.
07-Aug-2026 09:22:42 Build CASASPECS-CASACORE-BUILDLINUX-41 completed.
07-Aug-2026 09:22:42 Running on server: post build plugin 'Build Hanging Detection Configuration'
07-Aug-2026 09:22:42 Running on server: post build plugin 'NCover Results Collector'
07-Aug-2026 09:22:42 Running on server: post build plugin 'Build Labeller'
07-Aug-2026 09:22:42 Running on server: post build plugin 'Clover Delta Calculator'
07-Aug-2026 09:22:42 Running on server: post build plugin 'Maven Dependencies Postprocessor'
07-Aug-2026 09:22:42 All post build plugins have finished
07-Aug-2026 09:22:42 Generating build results summary...
07-Aug-2026 09:22:42 Saving build results to disk...
07-Aug-2026 09:22:42 Store variable context...
07-Aug-2026 09:22:42 Finished building CASASPECS-CASACORE-BUILDLINUX-41.