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10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:473,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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]’:
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 186 |   const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
10-Nov-2026 10:43:34 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 187 |   const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
10-Nov-2026 10:43:34 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 /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]’:
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 186 |   const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
10-Nov-2026 10:43:34 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 187 |   const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
10-Nov-2026 10:43:34 |                         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:548:35:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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> > >]’
10-Nov-2026 10:43:34 /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> >]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:960:61:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:34 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:34 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:34 /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> >’:
10-Nov-2026 10:43:34 /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>’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /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>]’
10-Nov-2026 10:43:34 /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:821:22:   required from here
10-Nov-2026 10:43:34 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:34 86 |     MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
10-Nov-2026 10:43:34 |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:34 In file included from /usr/include/eigen3/Eigen/Core:420,
10-Nov-2026 10:43:53 from /source/work/sakura-libsakura-5.2.1/libsakura/src/numeric_operation.cc:36:
10-Nov-2026 10:43:53 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:55: warning: enum constant in boolean context [-Wint-in-bool-context]
10-Nov-2026 10:43:53 90 |     MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
10-Nov-2026 10:43:53 |                                                       ^~~~~~~~~~~~~~~~~~
10-Nov-2026 10:43:53 cc1plus: note: unrecognized command-line option ‘-Wno-deprecated-register’ may have been intended to silence earlier diagnostics
10-Nov-2026 10:43:53 [100%] Linking CXX shared library libsakura.so
10-Nov-2026 10:43:53 [100%] Built target sakura
10-Nov-2026 10:43:53 Install the project...
10-Nov-2026 10:43:53 -- Install configuration: "Release"
10-Nov-2026 10:43:53 -- Installing: /source/casainstall/lib/pkgconfig/libsakura.pc
10-Nov-2026 10:43:53 -- Installing: /source/casainstall/lib/libsakura.so.5.2
10-Nov-2026 10:43:53 -- Installing: /source/casainstall/lib/libsakura.so.5
10-Nov-2026 10:43:53 -- Installing: /source/casainstall/lib/libsakura.so
10-Nov-2026 10:43:53 -- Installing: /source/casainstall/include/libsakura/sakura.h
10-Nov-2026 10:43:53 -- Installing: /source/casainstall/include/libsakura/config.h
10-Nov-2026 10:43:53 Installing data
10-Nov-2026 10:43:53 % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
10-Nov-2026 10:43:53 Dload  Upload   Total   Spent    Left  Speed
10-Nov-2026 10:43:53 0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
10-Nov-2026 10:43:53   0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
10-Nov-2026 10:43:53   4 19.7M    4  976k    0     0   851k      0  0:00:23  0:00:01  0:00:22  850k
10-Nov-2026 10:43:53 100 19.7M  100 19.7M    0     0  9901k      0  0:00:02  0:00:02 --:--:-- 9901k
10-Nov-2026 10:43:53 Building casacore
10-Nov-2026 10:43:53 -- The C compiler identification is GNU 11.2.1
10-Nov-2026 10:43:53 -- The CXX compiler identification is GNU 11.2.1
10-Nov-2026 10:43:53 -- Detecting C compiler ABI info
10-Nov-2026 10:43:53 -- Detecting C compiler ABI info - done
10-Nov-2026 10:43:53 -- Check for working C compiler: /usr/lib64/ccache/cc - skipped
10-Nov-2026 10:43:53 -- Detecting C compile features
10-Nov-2026 10:43:53 -- Detecting C compile features - done
10-Nov-2026 10:43:53 -- Detecting CXX compiler ABI info
10-Nov-2026 10:43:53 -- Detecting CXX compiler ABI info - done
10-Nov-2026 10:43:53 -- Check for working CXX compiler: /usr/lib64/ccache/c++ - skipped
10-Nov-2026 10:43:53 -- Detecting CXX compile features
10-Nov-2026 10:43:53 -- Detecting CXX compile features - done
10-Nov-2026 10:43:53 -- Performing Test HAVE_O_DIRECT
10-Nov-2026 10:43:53 -- Performing Test HAVE_O_DIRECT - Success
10-Nov-2026 10:43:53 -- Searching for ccache.
10-Nov-2026 10:43:53 -- Ccache found.
10-Nov-2026 10:43:53 -- Using namespace casacore.
10-Nov-2026 10:43:53 -- Looking for pread
10-Nov-2026 10:43:53 -- Looking for pread - found
10-Nov-2026 10:43:53 -- Looking for pwrite
10-Nov-2026 10:43:53 -- Looking for pwrite - found
10-Nov-2026 10:43:53 -- The Fortran compiler identification is GNU 11.2.1
10-Nov-2026 10:43:53 -- Detecting Fortran compiler ABI info
10-Nov-2026 10:43:53 -- Detecting Fortran compiler ABI info - done
10-Nov-2026 10:43:53 -- Check for working Fortran compiler: /opt/rh/gcc-toolset-11/root/usr/bin/gfortran - skipped
10-Nov-2026 10:43:53 -- Checking whether /opt/rh/gcc-toolset-11/root/usr/bin/gfortran supports Fortran 90
10-Nov-2026 10:43:53 -- Checking whether /opt/rh/gcc-toolset-11/root/usr/bin/gfortran supports Fortran 90 - yes
10-Nov-2026 10:43:53 -- Performing Test HAS_GXX_FORTRAN_RULES
10-Nov-2026 10:43:53 -- Performing Test HAS_GXX_FORTRAN_RULES - Success
10-Nov-2026 10:43:53 -- Performing Test HAS_GCC_FORTRAN_RULES
10-Nov-2026 10:43:53 -- Performing Test HAS_GCC_FORTRAN_RULES - Success
10-Nov-2026 10:43:53 -- Found Readline: /usr/lib64/libreadline.so
10-Nov-2026 10:43:53 -- Could NOT find SOFA (missing: SOFA_LIBRARY)
10-Nov-2026 10:43:53 -- Found FLEX: /usr/bin/flex (found version "2.6.1")
10-Nov-2026 10:43:53 -- Found BISON: /usr/bin/bison (found suitable version "3.0.4", minimum required is "3")
10-Nov-2026 10:43:53 -- Looking for Fortran sgemm
10-Nov-2026 10:43:53 -- Looking for Fortran sgemm - not found
10-Nov-2026 10:43:53 -- Looking for pthread.h
10-Nov-2026 10:43:53 -- Looking for pthread.h - found
10-Nov-2026 10:43:53 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
10-Nov-2026 10:43:53 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
10-Nov-2026 10:43:53 -- Looking for pthread_create in pthreads
10-Nov-2026 10:43:53 -- Looking for pthread_create in pthreads - not found
10-Nov-2026 10:43:53 -- Looking for pthread_create in pthread
10-Nov-2026 10:43:53 -- Looking for pthread_create in pthread - found
10-Nov-2026 10:43:53 -- Found Threads: TRUE
10-Nov-2026 10:43:53 -- Looking for Fortran sgemm
10-Nov-2026 10:43:53 -- Looking for Fortran sgemm - found
10-Nov-2026 10:43:53 -- Found BLAS: /usr/lib64/libblas.so
10-Nov-2026 10:43:53 -- Looking for Fortran cheev
10-Nov-2026 10:43:53 -- Looking for Fortran cheev - not found
10-Nov-2026 10:43:53 -- Looking for Fortran cheev
10-Nov-2026 10:43:53 -- Looking for Fortran cheev - found
10-Nov-2026 10:43:53 -- Found LAPACK: /usr/lib64/liblapack.so;/usr/lib64/libblas.so
10-Nov-2026 10:43:53 -- Found FFTW3: /usr/lib64/libfftw3f_threads.so
10-Nov-2026 10:43:53 -- Found CFITSIO: /usr/lib64/libcfitsio.so (found suitable version "3.470", minimum required is "3.030")
10-Nov-2026 10:43:53 -- Found WCSLIB: /usr/lib64/libwcs.so (found suitable version "7.12", minimum required is "4.7")
10-Nov-2026 10:43:53 -- Found OpenMP_C: -fopenmp (found version "4.5")
10-Nov-2026 10:43:53 -- Found OpenMP_CXX: -fopenmp (found version "4.5")
10-Nov-2026 10:43:53 -- Found OpenMP_Fortran: -fopenmp (found version "4.5")
10-Nov-2026 10:43:53 -- Found OpenMP: TRUE (found version "4.5")
10-Nov-2026 10:43:53 -- Found Pthreads: /usr/lib64/libpthread.so
10-Nov-2026 10:43:53 -- Could NOT find Boost (missing: Boost_INCLUDE_DIR unit_test_framework) (Required is at least version "1.73")
10-Nov-2026 10:43:53 CMake Error at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:230 (message):
10-Nov-2026 10:43:53 Could NOT find LibDeflate (missing: LibDeflate_LIBRARY
10-Nov-2026 10:43:53 LibDeflate_INCLUDE_DIR) (Required is at least version "1.19")
10-Nov-2026 10:43:53 Call Stack (most recent call first):
10-Nov-2026 10:43:53 /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:594 (_FPHSA_FAILURE_MESSAGE)
10-Nov-2026 10:43:53 cmake/FindLibDeflate.cmake:56 (find_package_handle_standard_args)
10-Nov-2026 10:43:53 tables/CMakeLists.txt:30 (find_package)
10-Nov-2026 10:43:53
10-Nov-2026 10:43:53
10-Nov-2026 10:43:53 -- Configuring incomplete, errors occurred!
10-Nov-2026 10:43:53 See also "/source/casa6/casatools/casacore/build/CMakeFiles/CMakeOutput.log".
10-Nov-2026 10:43:53 See also "/source/casa6/casatools/casacore/build/CMakeFiles/CMakeError.log".
10-Nov-2026 10:43:53 make: *** No rule to make target 'install'.  Stop.
10-Nov-2026 10:43:53 Building casacpp
10-Nov-2026 10:43:53 CASACPP version: 6.8.0.4
10-Nov-2026 10:43:53 -- The CXX compiler identification is GNU 11.2.1
10-Nov-2026 10:43:53 -- The Fortran compiler identification is GNU 11.2.1
10-Nov-2026 10:43:53 -- The C compiler identification is GNU 11.2.1
10-Nov-2026 10:43:53 -- Detecting CXX compiler ABI info
10-Nov-2026 10:43:53 -- Detecting CXX compiler ABI info - done
10-Nov-2026 10:43:53 -- Check for working CXX compiler: /usr/lib64/ccache/c++ - skipped
10-Nov-2026 10:43:53 -- Detecting CXX compile features
10-Nov-2026 10:43:53 -- Detecting CXX compile features - done
10-Nov-2026 10:43:53 -- Detecting Fortran compiler ABI info
10-Nov-2026 10:43:53 -- Detecting Fortran compiler ABI info - done
10-Nov-2026 10:43:53 -- Check for working Fortran compiler: /opt/rh/gcc-toolset-11/root/usr/bin/gfortran - skipped
10-Nov-2026 10:43:53 -- Checking whether /opt/rh/gcc-toolset-11/root/usr/bin/gfortran supports Fortran 90
10-Nov-2026 10:43:53 -- Checking whether /opt/rh/gcc-toolset-11/root/usr/bin/gfortran supports Fortran 90 - yes
10-Nov-2026 10:43:53 -- Detecting C compiler ABI info
10-Nov-2026 10:43:53 -- Detecting C compiler ABI info - done
10-Nov-2026 10:43:53 -- Check for working C compiler: /usr/lib64/ccache/cc - skipped
10-Nov-2026 10:43:53 -- Detecting C compile features
10-Nov-2026 10:43:53 -- Detecting C compile features - done
10-Nov-2026 10:43:53 -- Found PkgConfig: /usr/bin/pkg-config (found version "1.4.2")
10-Nov-2026 10:43:53 -- CMAKE_CXX_STANDARD 17
10-Nov-2026 10:43:53 -- CMAKE_CXX_FLAGS -I /opt/casa/03/include -L /opt/casa/03/lib/ -lgsl -lgslcblas -Wl,-rpath,/opt/casa/03/lib -std=c++17
10-Nov-2026 10:43:53 -- Checking for module 'casacore'
10-Nov-2026 10:43:53 --   Package 'casacore', required by 'virtual:world', not found
10-Nov-2026 10:43:53 CMake Error at /usr/share/cmake/Modules/FindPkgConfig.cmake:556 (message):
10-Nov-2026 10:43:53 A required package was not found
10-Nov-2026 10:43:53 Call Stack (most recent call first):
10-Nov-2026 10:43:53 /usr/share/cmake/Modules/FindPkgConfig.cmake:778 (_pkg_check_modules_internal)
10-Nov-2026 10:43:53 CMakeLists.txt:86 (pkg_check_modules)
10-Nov-2026 10:43:53
10-Nov-2026 10:43:53
10-Nov-2026 10:43:53 -- Configuring incomplete, errors occurred!
10-Nov-2026 10:43:53 See also "/source/casa6/casatools/src/code/build/CMakeFiles/CMakeOutput.log".
10-Nov-2026 10:43:53 make: *** No rule to make target 'install'.  Stop.
10-Nov-2026 10:43:53 Building Casatools
10-Nov-2026 10:43:53 Looking in indexes: https://casa-pip.nrao.edu:443/repository/pypi-group/simple, https://pypi.org/simple
10-Nov-2026 10:43:53 Collecting pip
10-Nov-2026 10:43:53 Downloading https://files.pythonhosted.org/packages/c9/bc/b7db44f5f39f9d0494071bddae6880eb645970366d0a200022a1a93d57f5/pip-25.0.1-py3-none-any.whl (1.8MB)
10-Nov-2026 10:43:53 Collecting build
10-Nov-2026 10:43:53 Downloading https://files.pythonhosted.org/packages/84/c2/80633736cd183ee4a62107413def345f7e6e3c01563dbca1417363cf957e/build-1.2.2.post1-py3-none-any.whl
10-Nov-2026 10:43:53 Collecting wheel
10-Nov-2026 10:43:53 Downloading https://files.pythonhosted.org/packages/0b/2c/87f3254fd8ffd29e4c02732eee68a83a1d3c346ae39bc6822dcbcb697f2b/wheel-0.45.1-py3-none-any.whl (72kB)
10-Nov-2026 10:43:53 Collecting setuptools
10-Nov-2026 10:43:53 Downloading https://files.pythonhosted.org/packages/cd/b1/961ba076c7d3732e3a97e6681c55ef647afb795fe8bfcd27becec8a762ce/setuptools-75.3.4-py3-none-any.whl (1.3MB)
10-Nov-2026 10:43:53 Collecting auditwheel
10-Nov-2026 10:43:53 Downloading https://files.pythonhosted.org/packages/21/87/14ef114af3495dd4d367c811b37c13b33bd1dfca410d14b0dfbcdef60c9b/auditwheel-6.1.0-py3-none-any.whl (44kB)
10-Nov-2026 10:44:18 ERROR: Could not find a version that satisfies the requirement numpy==2.1.0 (from versions: 1.3.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0.post2, 1.10.1, 1.10.2, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 1.13.3, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0, 1.16.1, 1.16.2, 1.16.3, 1.16.4, 1.16.5, 1.16.6, 1.17.0, 1.17.1, 1.17.2, 1.17.3, 1.17.4, 1.17.5, 1.18.0, 1.18.1, 1.18.2, 1.18.3, 1.18.4, 1.18.5, 1.19.0, 1.19.1, 1.19.2, 1.19.3, 1.19.4, 1.19.5, 1.20.0, 1.20.1, 1.20.2, 1.20.3, 1.21.0, 1.21.1, 1.21.2, 1.21.3, 1.21.4, 1.21.5, 1.21.6, 1.22.0, 1.22.1, 1.22.2, 1.22.3, 1.22.4, 1.23.0, 1.23.1, 1.23.2, 1.23.3, 1.23.4, 1.23.5, 1.24.0, 1.24.1, 1.24.2, 1.24.3, 1.24.4)
10-Nov-2026 10:44:18 ERROR: No matching distribution found for numpy==2.1.0
10-Nov-2026 10:44:18 WARNING: You are using pip version 19.3.1; however, version 25.0.1 is available.
10-Nov-2026 10:44:18 You should consider upgrading via the 'pip install --upgrade pip' command.
10-Nov-2026 10:44:18 Running mod-closure
10-Nov-2026 10:44:18 /source/casa6/casatools/src/tools/build_env/bin/python3.8: No module named build
10-Nov-2026 10:44:18 ./build_casalith_cmake: line 230: cd: /source/casainstall/dist: No such file or directory
10-Nov-2026 10:44:18 Auditwheel repair
10-Nov-2026 10:44:18 usage: auditwheel [-h] [-V] [-v] command ...
10-Nov-2026 10:44:18 auditwheel: error: unrecognized arguments: --exclude --exclude libkokkoscore.so.3.7 --exclude libglibmm-2.4.so.1 --exclude libglibmm-2.4.so.1.3.0 --exclude libblas.so.3 --exclude libffi.so.6 --exclude libfftw3.so.3 --exclude libfftw3f.so.3 --exclude libgmp.so.10 --exclude libgnutls.so.30 --exclude libgpr.so.7 --exclude libgrpc.so.7 --exclude libhogweed.so.4 --exclude libhwloc.so.15 --exclude libidn2.so.0 --exclude liblzma.so.5 --exclude libnettle.so.6 --exclude libpcre.so.1 --exclude libprofiler.so.0 --exclude libprotobuf.so.17 --exclude libssl.so.1.1 --exclude libtasn1.so.6 --exclude libtinfo.so.6 --exclude libunistring.so.2 --exclude libunwind.so.8 --exclude libxml2.so.2 --exclude libquadmath.so.0 *.whl
10-Nov-2026 10:44:18 ./build_casalith_cmake: line 246: cd: /source/casainstall/dist/wheelhouse/: No such file or directory
10-Nov-2026 10:44:18 cp: cannot stat '/source/casainstall/dist/wheelhouse/': No such file or directory
10-Nov-2026 10:44:18 <casa_cmake> Building casatestutils
10-Nov-2026 10:44:18 usage: setup.py [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...]
10-Nov-2026 10:44:18 or: setup.py --help [cmd1 cmd2 ...]
10-Nov-2026 10:44:18 or: setup.py --help-commands
10-Nov-2026 10:44:18 or: setup.py cmd --help
10-Nov-2026 10:44:18
10-Nov-2026 10:44:18 error: invalid command 'bdist_wheel'
10-Nov-2026 10:44:18 cp: cannot stat '/source/casa6/casatestutils/dist/casatestutils*.whl': No such file or directory
10-Nov-2026 10:44:18 <casa_cmake> Installing dependencies
10-Nov-2026 10:44:18 Looking in indexes: https://pypi.org/simple, https://pypi.org/simple
10-Nov-2026 10:44:18 Collecting certifi
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/32/d1/a3652fe2c19134d0d15922177821d863cbd7e842d53a21bbe7e8e3a1b5ac/certifi-2026.10.23-py3-none-any.whl (135kB)
10-Nov-2026 10:44:18 Collecting numpy
10-Nov-2026 10:44:18 Using cached https://files.pythonhosted.org/packages/98/5d/5738903efe0ecb73e51eb44feafba32bdba2081263d40c5043568ff60faf/numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
10-Nov-2026 10:44:18 Collecting matplotlib
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/30/33/cc27211d2ffeee4fd7402dca137b6e8a83f6dcae3d4be8d0ad5068555561/matplotlib-3.7.5-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.2MB)
10-Nov-2026 10:44:18 Collecting scipy
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/69/f0/fb07a9548e48b687b8bf2fa81d71aba9cfc548d365046ca1c791e24db99d/scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5MB)
10-Nov-2026 10:44:18 Collecting pyerfa
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/e4/7f/5c3802fc6cb661bc485994c87fcdcd36bc426baf15885968fecd13b6452d/pyerfa-2.0.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (749kB)
10-Nov-2026 10:44:18 Collecting contourpy>=1.0.1
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/8e/71/7f20855592cc929bc206810432b991ec4c702dc26b0567b132e52c85536f/contourpy-1.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (301kB)
10-Nov-2026 10:44:18 Collecting kiwisolver>=1.0.1
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/76/36/ae40d7a3171e06f55ac77fe5536079e7be1d8be2a8210e08975c7f9b4d54/kiwisolver-1.4.7-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.2MB)
10-Nov-2026 10:44:18 Collecting cycler>=0.10
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl
10-Nov-2026 10:44:18 Collecting packaging>=20.0
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/df/b2/87e62e8c3e2f4b32e5fe99e0b86d576da1312593b39f47d8ceef365e95ed/packaging-26.2-py3-none-any.whl (100kB)
10-Nov-2026 10:44:18 Collecting pillow>=6.2.0
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/84/4c/69bbed9e436ac22f9ed193a2b64f64d68fcfbc9f4106249dc7ed4889907b/pillow-10.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4MB)
10-Nov-2026 10:44:18 Collecting pyparsing>=2.3.1
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/e5/0c/0e3c05b1c87bb6a1c76d281b0f35e78d2d80ac91b5f8f524cebf77f51049/pyparsing-3.1.4-py3-none-any.whl (104kB)
10-Nov-2026 10:44:18 Collecting python-dateutil>=2.7
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/5a/17/cebee01d1c0c1441174cf0456ddc91b280d79acb65340c05e41d77866ee8/python_dateutil-3.0.0-py2.py3-none-any.whl (94kB)
10-Nov-2026 10:44:18 Collecting importlib-resources>=3.2.0; python_version < "3.10"
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/e1/6a/4604f9ae2fa62ef47b9de2fa5ad599589d28c9fd1d335f32759813dfa91e/importlib_resources-6.4.5-py3-none-any.whl
10-Nov-2026 10:44:18 Collecting fonttools>=4.22.0
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/a5/0e/b6314a09a4d561aaa7e09de43fa700917be91e701f07df6178865962666c/fonttools-4.57.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7MB)
10-Nov-2026 10:44:18 Collecting six>=1.6
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl
10-Nov-2026 10:44:18 Collecting tzdata
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/0a/66/9a06c2227fedfd4919f0eaaa8b94377d9730882a7e4f95823c9a331ab5e1/tzdata-2026.6-py2.py3-none-any.whl (348kB)
10-Nov-2026 10:44:18 Collecting zipp>=3.1.0; python_version < "3.10"
10-Nov-2026 10:44:18 Downloading https://files.pythonhosted.org/packages/62/8b/5ba542fa83c90e09eac972fc9baca7a88e7e7ca4b221a89251954019308b/zipp-3.20.2-py3-none-any.whl
10-Nov-2026 10:44:18 Installing collected packages: certifi, numpy, contourpy, kiwisolver, cycler, packaging, pillow, pyparsing, six, tzdata, python-dateutil, zipp, importlib-resources, fonttools, matplotlib, scipy, pyerfa
10-Nov-2026 10:44:18 Successfully installed certifi-2026.10.23 contourpy-1.1.1 cycler-0.12.1 fonttools-4.57.0 importlib-resources-6.4.5 kiwisolver-1.4.7 matplotlib-3.7.5 numpy-1.24.4 packaging-26.2 pillow-10.4.0 pyerfa-2.0.0.3 pyparsing-3.1.4 python-dateutil-3.0.0 scipy-1.10.1 six-1.17.0 tzdata-2026.6 zipp-3.20.2
10-Nov-2026 10:44:18 WARNING: You are using pip version 19.3.1; however, version 25.0.1 is available.
10-Nov-2026 10:44:18 You should consider upgrading via the 'pip install --upgrade pip' command.
10-Nov-2026 10:44:18 Looking in indexes: https://pypi.org/simple, https://pypi.org/simple, https://test.pypi.org/simple/
10-Nov-2026 10:44:18 ERROR: Could not find a version that satisfies the requirement casaconfig==1.5.2 (from versions: 0.0.1, 0.0.2, 0.0.3, 0.0.4, 0.0.5, 0.0.6, 0.0.7, 0.0.8, 0.0.9, 0.0.10, 0.0.11, 0.0.12, 0.0.13, 0.0.14, 0.0.15, 0.0.16, 0.0.17, 0.0.18, 0.0.19, 0.0.20, 0.0.21, 0.0.22, 0.0.23, 0.0.24, 0.0.25, 0.0.26, 0.0.27, 0.0.28, 0.0.29, 0.0.30, 0.0.31, 0.0.32, 0.0.33, 0.0.36, 0.0.38, 0.0.39, 0.0.40, 0.0.41, 0.0.42, 0.0.43, 0.0.44, 0.0.45, 0.0.46, 0.0.47, 0.0.48, 0.0.49, 0.0.53, 0.0.54, 0.0.55, 0.0.56, 0.0.57, 0.0.59, 0.0.60, 0.0.61, 0.0.62, 0.0.63, 0.0.64, 0.0.65, 0.0.66, 0.0.67, 0.0.68, 0.0.69, 0.0.70, 0.0.71, 0.0.72, 0.0.73, 0.0.74, 0.0.75, 0.0.76, 0.0.77, 0.0.78, 0.0.79, 0.0.80, 0.0.81, 0.0.83, 0.0.84, 0.0.85, 0.0.86, 0.0.89, 0.0.90, 0.0.91, 1.0.0, 1.0.1.dev14475, 1.0.1rc1, 1.0.1rc2, 1.0.1rc3, 1.0.1, 1.0.2.dev1, 1.0.2, 1.0.3.dev1, 1.0.3.dev2, 1.0.3, 1.1.0, 1.1.1.dev1, 1.1.1, 1.2.0, 1.3.0.dev1, 1.3.0.dev2, 1.3.0.dev3, 1.3.0, 1.3.1)
10-Nov-2026 10:44:18 ERROR: No matching distribution found for casaconfig==1.5.2
10-Nov-2026 10:44:18 WARNING: You are using pip version 19.3.1; however, version 25.0.1 is available.
10-Nov-2026 10:44:18 You should consider upgrading via the 'pip install --upgrade pip' command.
10-Nov-2026 10:44:18 <casa_cmake> Installing casatools
10-Nov-2026 10:44:18 ERROR: Invalid requirement: '/source/casainstall/dist/wheelhouse/'
10-Nov-2026 10:44:18 Hint: It looks like a path. File '/source/casainstall/dist/wheelhouse/' does not exist.
10-Nov-2026 10:44:18 WARNING: You are using pip version 19.3.1; however, version 25.0.1 is available.
10-Nov-2026 10:44:18 You should consider upgrading via the 'pip install --upgrade pip' command.
10-Nov-2026 10:44:18 <casa_cmake> Building casatasks
10-Nov-2026 10:44:18 Current dir
10-Nov-2026 10:44:18 /source/casa6/casatasks
10-Nov-2026 10:44:18 readme.md
10-Nov-2026 10:44:18 setup.py
10-Nov-2026 10:44:18 src
10-Nov-2026 10:44:18 tests
10-Nov-2026 10:44:18 version
10-Nov-2026 10:44:18 xml
10-Nov-2026 10:44:18 usage: setup.py [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...]
10-Nov-2026 10:44:18 or: setup.py --help [cmd1 cmd2 ...]
10-Nov-2026 10:44:18 or: setup.py --help-commands
10-Nov-2026 10:44:18 or: setup.py cmd --help
10-Nov-2026 10:44:18
10-Nov-2026 10:44:18 error: invalid command 'bdist_wheel'
10-Nov-2026 10:44:18 casatools.config.build could not be imported, using XML casa jar directly
10-Nov-2026 10:44:18 None
10-Nov-2026 10:44:18 6.8.0.4 6.8.0.4
10-Nov-2026 10:44:18
10-Nov-2026 10:44:18 6.8.0.4
10-Nov-2026 10:44:18 6.8.0.4
10-Nov-2026 10:44:18 <casa_cmake> Building casashell
10-Nov-2026 10:44:18 Exception found when importing casatasks: ModuleNotFoundError No module named 'casatasks'
10-Nov-2026 10:44:18 cp: cannot stat '/usr/lib64/libgfortran.so.3': No such file or directory
10-Nov-2026 10:47:35 cp: cannot stat '/source/casa6/casatasks/dist/casatasks*.whl': No such file or directory
10-Nov-2026 10:47:35 cp: cannot stat '/source/casashell/dist/casashell*.whl': No such file or directory
10-Nov-2026 10:47:35 <casa_cmake> current Casa6 branch master
10-Nov-2026 10:47:35 short_python_version: 38
10-Nov-2026 10:47:35 <dockerbuildcasalith> qtversion: 5
10-Nov-2026 10:47:35 <dockerbuildcasalith> qtoption qtversion=5
10-Nov-2026 10:47:35 wheeldirectory: /source/wheels
10-Nov-2026 10:47:35 branch: master
10-Nov-2026 10:47:35 casalithbranch: master
10-Nov-2026 10:47:35 OS: Linux
10-Nov-2026 10:47:35 Pydeps: pydeps=python-dependencies/requirements-manylinux228-py38.txt
10-Nov-2026 10:47:35 Python: 3.8
10-Nov-2026 10:47:35 Pyplatform: pyplatform=manylinux_2_17_x86_64
10-Nov-2026 10:47:35 optimization: Release
10-Nov-2026 10:47:35 Tools: /source/wheels/
10-Nov-2026 10:47:35 Tasks: /source/wheels/
10-Nov-2026 10:47:35 Shell: /source/wheels/
10-Nov-2026 10:47:35 Casatestutils: /source/wheels/
10-Nov-2026 10:47:35 Working directory: /source/casa-build-utils/casalith
10-Nov-2026 10:47:35 Error: This command has to be run with superuser privileges (under the root user on most systems).
10-Nov-2026 10:47:35 % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
10-Nov-2026 10:47:35 Dload  Upload   Total   Spent    Left  Speed
10-Nov-2026 10:47:35 0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
10-Nov-2026 10:47:35 100   669    0   669    0     0  23068      0 --:--:-- --:--:-- --:--:-- 23068
10-Nov-2026 10:47:35 Casalith url: https://open-bitbucket.nrao.edu/scm/casa/casalith.git
10-Nov-2026 10:47:35 Casa6 url: https://open-bitbucket.nrao.edu/scm/casa/casa6.git
10-Nov-2026 10:47:35 Cloning into 'casalith'...
10-Nov-2026 10:47:35 Submodule 'build-casalith/work/casa-pkg' (https://open-bitbucket.nrao.edu/scm/casa/casa-pkg.git) registered for path 'build-casalith/work/casa-pkg'
10-Nov-2026 10:47:35 Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/casa-pkg'...
10-Nov-2026 10:47:35 Submodule path 'build-casalith/work/casa-pkg': checked out 'e5285e68467f01199807a1f1a978aec8a4781be7'
10-Nov-2026 10:47:35 Already on 'master'
10-Nov-2026 10:47:35 Your branch is up to date with 'origin/master'.
10-Nov-2026 10:47:35 cmake3 found.
10-Nov-2026 10:47:35 Work dir:/source/casa-build-utils/casalith/casalith/build-casalith/work/linux
10-Nov-2026 10:47:35 <git> https://open-bitbucket.nrao.edu/scm/casa/casa6.git
10-Nov-2026 10:47:35 <git> Cloning into 'casa-source'...
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10-Nov-2026 10:47:35 Updating files: 100% (6550/6550)
10-Nov-2026 10:47:35 Updating files: 100% (6550/6550), done.
10-Nov-2026 10:47:35 <git> Submodule 'casatools/casacore' (https://github.com/casacore/casacore.git) registered for path 'casatools/casacore'
10-Nov-2026 10:47:35 <git> Submodule 'casatools/grpc-source' (https://github.com/grpc/grpc) registered for path 'casatools/grpc-source'
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/casacore'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source'...
10-Nov-2026 10:47:35 <git> Submodule path 'casatools/casacore': checked out 'aaf72eb7edd5a5fecefa78ca04713233b7b6ffd6'
10-Nov-2026 10:47:35 <git> Submodule path 'casatools/grpc-source': checked out 'cca868ac8f3641df4003a82b7fc54c921e14f765'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/abseil-cpp' (https://github.com/abseil/abseil-cpp) registered for path 'casatools/grpc-source/third_party/abseil-cpp'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'casatools/grpc-source/third_party/benchmark'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/bloaty' (https://github.com/google/bloaty.git) registered for path 'casatools/grpc-source/third_party/bloaty'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/boringssl' (https://github.com/google/boringssl.git) registered for path 'casatools/grpc-source/third_party/boringssl'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/boringssl-with-bazel' (https://github.com/google/boringssl.git) registered for path 'casatools/grpc-source/third_party/boringssl-with-bazel'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/cares/cares' (https://github.com/c-ares/c-ares.git) registered for path 'casatools/grpc-source/third_party/cares/cares'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'casatools/grpc-source/third_party/gflags'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'casatools/grpc-source/third_party/googletest'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/protobuf' (https://github.com/google/protobuf.git) registered for path 'casatools/grpc-source/third_party/protobuf'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/zlib' (https://github.com/madler/zlib) registered for path 'casatools/grpc-source/third_party/zlib'
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/abseil-cpp'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/benchmark'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/bloaty'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/boringssl'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/boringssl-with-bazel'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/cares/cares'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/gflags'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/googletest'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/protobuf'...
10-Nov-2026 10:47:35 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/zlib'...
10-Nov-2026 10:47:35 <git> Submodule path 'casatools/grpc-source/third_party/abseil-cpp': checked out 'cc4bed2d74f7c8717e31f9579214ab52a9c9c610'
10-Nov-2026 10:47:35 <git> Submodule path 'casatools/grpc-source/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
10-Nov-2026 10:47:35 <git> Submodule path 'casatools/grpc-source/third_party/bloaty': checked out '73594cde8c9a52a102c4341c244c833aa61b9c06'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'casatools/grpc-source/third_party/bloaty/third_party/googletest'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/libFuzzer' (https://chromium.googlesource.com/chromium/llvm-project/llvm/lib/Fuzzer) registered for path 'casatools/grpc-source/third_party/bloaty/third_party/libFuzzer'
10-Nov-2026 10:47:35 <git> Submodule 'third_party/re2' (https://github.com/google/re2) registered for path 'casatools/grpc-source/third_party/bloaty/third_party/re2'
10-Nov-2026 10:47:40 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/bloaty/third_party/googletest'...
10-Nov-2026 10:47:40 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/bloaty/third_party/libFuzzer'...
10-Nov-2026 10:47:40 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/bloaty/third_party/re2'...
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/bloaty/third_party/googletest': checked out 'a2b8a8e07628e5fd60644b6dd99c1b5e7d7f1f47'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/bloaty/third_party/libFuzzer': checked out '1b543d6e5073b56be214394890c9193979a3d7e1'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/bloaty/third_party/re2': checked out 'c964d9b07816f9b52ca692e23b8b3dba33beec54'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/boringssl': checked out 'be2ee342d3781ddb954f91f8a7e660c6f59e87e5'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/boringssl-with-bazel': checked out '886e7d75368e3f4fab3f4d0d3584e4abfc557755'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/cares/cares': checked out '3be1924221e1326df520f8498d704a5c4c8d0cce'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/gflags': checked out '30dbc81fb5ffdc98ea9b14b1918bfe4e8779b26e'
10-Nov-2026 10:47:40 <git> Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'casatools/grpc-source/third_party/gflags/doc'
10-Nov-2026 10:47:40 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/gflags/doc'...
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/gflags/doc': checked out '971dd2a4fadac9cdab174c523c22df79efd63aa5'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/googletest': checked out 'ec44c6c1675c25b9827aacd08c02433cccde7780'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/protobuf': checked out '2761122b810fe8861004ae785cc3ab39f384d342'
10-Nov-2026 10:47:40 <git> Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'casatools/grpc-source/third_party/protobuf/third_party/benchmark'
10-Nov-2026 10:47:40 <git> Cloning into '/source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source/casatools/grpc-source/third_party/protobuf/third_party/benchmark'...
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/protobuf/third_party/benchmark': checked out '360e66c1c4777c99402cf8cd535aa510fee16573'
10-Nov-2026 10:47:40 <git> Submodule path 'casatools/grpc-source/third_party/zlib': checked out 'cacf7f1d4e3d44d871b605da3b647f07d718623f'
10-Nov-2026 10:47:40 ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ---- ----
10-Nov-2026 10:47:40 <git> Synchronizing submodule url for 'casatools/casacore'
10-Nov-2026 10:47:40 <git> Synchronizing submodule url for 'casatools/grpc-source'
10-Nov-2026 10:47:40 <git> branch master
10-Nov-2026 10:47:40 <git> Already on 'master'
10-Nov-2026 10:47:40 <git> Your branch is up to date with 'origin/master'.
10-Nov-2026 10:47:40 srcdir: /source/casa-build-utils/casalith/casalith/build-casalith/work/linux/casa-source
10-Nov-2026 10:47:40 casaplotserver from build.conf: casaplotserver==2.2.1
10-Nov-2026 10:47:40 casaplotms from build.conf: casaplotms==3.0.3
10-Nov-2026 10:47:40 casampi from build.conf: casampi==0.6.0
10-Nov-2026 10:47:40 casalogger from build.conf: casalogger==1.0.25
10-Nov-2026 10:47:40 casafeather from build.conf: casafeather==0.0.29
10-Nov-2026 10:47:40 casatablebrowser from build.conf: casatablebrowser==0.0.42
10-Nov-2026 10:47:40 casaviewer from build.conf: casaviewer==2.5.1
10-Nov-2026 10:47:40 casaconfig from build.conf: casaconfig==1.5.2
10-Nov-2026 10:47:40 plotms: casaplotms==3.0.3
10-Nov-2026 10:47:40 viewer: casaviewer==2.5.1
10-Nov-2026 10:47:40 feather: casafeather==0.0.29
10-Nov-2026 10:47:40 logger: casalogger==1.0.25
10-Nov-2026 10:47:40 tablebrowser: casatablebrowser==0.0.42
10-Nov-2026 10:47:40 mpi: casampi==0.6.0
10-Nov-2026 10:47:40 shell: /source/wheels/
10-Nov-2026 10:47:40 testutils: /source/wheels/
10-Nov-2026 10:47:40 plotserver: casaplotserver==2.2.1
10-Nov-2026 10:47:40 casaconfig: casaconfig==1.5.2
10-Nov-2026 10:47:40 qtversion: 5
10-Nov-2026 10:47:40 Read Python dependencies from: python-dependencies/requirements-manylinux228-py38.txt
10-Nov-2026 10:47:40 Using Python version 3.8
10-Nov-2026 10:47:40 Not enough elements in version number. at ./generate-distro line 1166, <CONF> line 9.
10-Nov-2026 10:47:40 CPU Architecture: 'x86_64'
10-Nov-2026 10:47:40 building version
10-Nov-2026 10:47:40
10-Nov-2026 10:47:40 0
10-Nov-2026 10:47:40 Finished task 'Create casalith' with result: Success
10-Nov-2026 10:47:40 Starting task 'Run c++ tests' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script'
10-Nov-2026 10:47:40
Beginning to execute external process for build 'CASA - Casacore CI - Build and Package Many Linux 2.28 MPI 5 #153 (CASA-CCCI-BPML228MPI5-153)'
... running command line:
/export/home/cbt-el7-7/bamboohome/temp/CASA-CCCI-BPML228MPI5-153-ScriptBuildTask-18140963813767190452.sh
... in: /export/home/cbt-el7-7/bamboohome/xml-data/build-dir/CASA-CCCI-BPML228MPI5
10-Nov-2026 10:47:40 Running C++ tests
10-Nov-2026 10:47:41    Site: 334b1b6b8b08
10-Nov-2026 10:47:41    Build name: Linux-c++
10-Nov-2026 10:47:41 Create new tag: 20261110-1547 - Experimental
10-Nov-2026 10:47:41 Test project /source/casa6/casatools/src/code/build
10-Nov-2026 10:47:41 No tests were found!!!
10-Nov-2026 10:47:41 Finished task 'Run c++ tests' with result: Success
10-Nov-2026 10:47:41 Starting task 'Clean up' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script'
10-Nov-2026 10:47:41
Beginning to execute external process for build 'CASA - Casacore CI - Build and Package Many Linux 2.28 MPI 5 #153 (CASA-CCCI-BPML228MPI5-153)'
... running command line:
/export/home/cbt-el7-7/bamboohome/temp/CASA-CCCI-BPML228MPI5-153-ScriptBuildTask-6871891023754357952.sh
... in: /export/home/cbt-el7-7/bamboohome/xml-data/build-dir/CASA-CCCI-BPML228MPI5
10-Nov-2026 10:47:41 Starting cleanup
10-Nov-2026 10:47:41 Error response from daemon: No such container: build_container
10-Nov-2026 10:47:52 casalith_container
10-Nov-2026 10:47:52 Error response from daemon: No such container: build_container
10-Nov-2026 10:47:52 casalith_container
10-Nov-2026 10:47:52 Cleanup complete
10-Nov-2026 10:47:52 Finished task 'Clean up' with result: Success
10-Nov-2026 10:47:52 Running post build plugin 'Docker Container Cleanup'
10-Nov-2026 10:47:52
Beginning to execute external process for build 'CASA - Casacore CI - Build and Package Many Linux 2.28 MPI 5 #153 (CASA-CCCI-BPML228MPI5-153)'
... running command line:
/usr/bin/docker rm -f casalith_container
... in: /export/home/cbt-el7-7/bamboohome/xml-data/build-dir/CASA-CCCI-BPML228MPI5
10-Nov-2026 10:47:52 Error response from daemon: No such container: casalith_container
10-Nov-2026 10:47:52 Running post build plugin 'NCover Results Collector'
10-Nov-2026 10:47:52 Running post build plugin 'Build Results Label Collector'
10-Nov-2026 10:47:52 Running post build plugin 'Clover Results Collector'
10-Nov-2026 10:47:52 Running post build plugin 'npm Cache Cleanup'
10-Nov-2026 10:47:52 Running post build plugin 'Artifact Copier'
10-Nov-2026 10:47:52 Publishing an artifact: MPI5 ManyLinux228 Python 3.8 Tool wheel
10-Nov-2026 10:47:52 Failing as no matching files has been found and empty artifacts are not allowed.
10-Nov-2026 10:47:52 Unable to publish artifact [MPI5 ManyLinux228 Python 3.8 Tool wheel]:
10-Nov-2026 10:47:52 The artifact hasn't been successfully published after 94.81 ms
10-Nov-2026 10:47:52 Publishing an artifact: MPI5 ManyLinux228  Python 3.8 Task wheel
10-Nov-2026 10:47:52 Failing as no matching files has been found and empty artifacts are not allowed.
10-Nov-2026 10:47:52 Unable to publish artifact [MPI5 ManyLinux228  Python 3.8 Task wheel]:
10-Nov-2026 10:47:52 The artifact hasn't been successfully published after 20.07 ms
10-Nov-2026 10:47:52 Publishing an artifact: MPI5 ManyLinux228 Python 3.8 Shell wheel
10-Nov-2026 10:47:52 Failing as no matching files has been found and empty artifacts are not allowed.
10-Nov-2026 10:47:52 Unable to publish artifact [MPI5 ManyLinux228 Python 3.8 Shell wheel]:
10-Nov-2026 10:47:52 The artifact hasn't been successfully published after 20.99 ms
10-Nov-2026 10:47:52 Publishing an artifact: MPI5 ManyLinux228 Python 3.8 Tar
10-Nov-2026 10:47:52 Failing as no matching files has been found and empty artifacts are not allowed.
10-Nov-2026 10:47:52 Unable to publish artifact [MPI5 ManyLinux228 Python 3.8 Tar]:
10-Nov-2026 10:47:52 The artifact hasn't been successfully published after 11.82 ms
10-Nov-2026 10:47:52 Publishing an artifact: MPI5 ManyLinux228 Casatestutils
10-Nov-2026 10:47:52 Failing as no matching files has been found and empty artifacts are not allowed.
10-Nov-2026 10:47:52 Unable to publish artifact [MPI5 ManyLinux228 Casatestutils]:
10-Nov-2026 10:47:52 The artifact hasn't been successfully published after 24.67 ms
10-Nov-2026 10:47:52 Finalising the build...
10-Nov-2026 10:47:52 Stopping timer.
10-Nov-2026 10:47:52 Build CASA-CCCI-BPML228MPI5-153 completed.
10-Nov-2026 10:47:52 Running on server: post build plugin 'Build Hanging Detection Configuration'
10-Nov-2026 10:47:52 Running on server: post build plugin 'NCover Results Collector'
10-Nov-2026 10:47:52 Running on server: post build plugin 'Build Labeller'
10-Nov-2026 10:47:52 Running on server: post build plugin 'Clover Delta Calculator'
10-Nov-2026 10:47:52 Running on server: post build plugin 'Maven Dependencies Postprocessor'
10-Nov-2026 10:47:52 All post build plugins have finished
10-Nov-2026 10:47:52 Generating build results summary...
10-Nov-2026 10:47:52 Saving build results to disk...
10-Nov-2026 10:47:52 Store variable context...
10-Nov-2026 10:47:52 Finished building CASA-CCCI-BPML228MPI5-153.