Build #2

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Build: #2 failed

Job: ManyLinux 2.28 failed

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  3. Test

Build log

The build generated 2,725 lines of output.The output is too long and has been truncated to the last 1,000 lines. Download or view full build log.

07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::sub_assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::sub_assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:164:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/LU/FullPivLU.h:563:55:   required from ‘void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/LU/FullPivLU.h:121:7:   required from ‘Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/LU/FullPivLU.h:472:3:   required from ‘Eigen::FullPivLU<MatrixType>::FullPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/LU/FullPivLU.h:886:10:   required from ‘const Eigen::FullPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::fullPivLu() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<-1, -1> >; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:621:59:   required from ‘void {anonymous}::SolveSimultaneousEquationsByLU(size_t, const T*, const T*, T*) [with T = double; MatrixT = Eigen::Matrix<double, -1, -1>; VectorT = Eigen::Matrix<double, -1, 1>; size_t = long unsigned int]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:961:45:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/Householder.h:126:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:547:5:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:156:7:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:232:39:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:473,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:145:123:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:324:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:460:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:461:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:154:113:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::ResScalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:324:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:725:113:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:460:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:461:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:204:7:   required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:804:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing<Src>::value), void*>::type = void*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 2>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:270:13:   required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:473,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:74:123:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:265:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; typename Dest::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:712:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::ResScalar = double]’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:83:113:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::ResScalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:265:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; typename Dest::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:712:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:186:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 const Index offset1 = (FirstAligned && alignmentStep==1)?3:1;
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:187:39: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 const Index offset3 = (FirstAligned && alignmentStep==1)?1:3;
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/Householder.h:126:19:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase<Derived>::Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::MatrixBase<Derived>::Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:547:5:   required from ‘void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/QR/ColPivHouseholderQR.h:156:7:   required from ‘Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:232:39:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<bool, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> > >, Eigen::internal::assign_op<bool, bool> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<bool, -1, 1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> > >, Eigen::internal::assign_op<bool, bool>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<bool, bool>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<bool, bool>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<bool, -1, 1, 0, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<bool>, Eigen::Matrix<bool, -1, 1, 0, -1, 1> >; Func = Eigen::internal::assign_op<bool, bool>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::PermutationMatrix<-1, -1>, Eigen::Matrix<double, -1, 1>, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:204:7:   required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 0, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1, 0, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 0, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:621:35:   required from ‘void {anonymous}::SolveSimultaneousEquationsByLU(size_t, const T*, const T*, T*) [with T = double; MatrixT = Eigen::Matrix<double, -1, -1>; VectorT = Eigen::Matrix<double, -1, 1>; size_t = long unsigned int]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:961:45:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >, Eigen::internal::add_assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >, Eigen::internal::add_assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 8, 8, 0, 8, 8> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 8, 8, 0, 8, 8> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 8, 8, 0, 8, 8>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 8, 8, 0, 8, 8>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, 1, false>; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/lmpar.h:223:13:   required from ‘void Eigen::internal::lmpar2(const Eigen::ColPivHouseholderQR<Eigen::Matrix<LhsScalar, -1, -1, 0> >&, const Eigen::Matrix<Scalar, -1, 1>&, const Eigen::Matrix<Scalar, -1, 1>&, Scalar, Scalar&, Eigen::Matrix<Scalar, -1, 1>&) [with Scalar = double]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:275:33:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/PlainObjectBase.h:710:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/Matrix.h:225:24:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1> >, Eigen::Matrix<double, -1, 1>, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:299:13:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 1, -1>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >, Eigen::internal::add_assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Src = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = Eigen::internal::add_assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Matrix<double, 8, 8, 1, 8, 8> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, 8, 8, 1, 8, 8> >, Eigen::internal::evaluator<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 8, 8, 1, 8, 8>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 8, 8, 1, 8, 8>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Src = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Src = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /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*]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:38 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:38 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:38 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:38 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:38 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:38 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h: In instantiation of ‘struct Eigen::internal::copy_using_evaluator_traits<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double> >’:
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:607:49:   required from ‘class Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >, Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, Eigen::internal::assign_op<double, double>, 0>’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:739:10:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:879:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
07-Jul-2023 02:46:38 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; Src = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>]’
07-Jul-2023 02:46:42 /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*]’
07-Jul-2023 02:46:42 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:782:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
07-Jul-2023 02:46:42 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:42 /usr/include/eigen3/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
07-Jul-2023 02:46:42 /usr/include/eigen3/Eigen/src/Core/MatrixBase.h:525:3:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::HouseholderSequence<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 1>; Derived = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:42 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:254:5:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimizeOneStep(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:42 /usr/include/eigen3/unsupported/Eigen/src/NonLinearOptimization/LevenbergMarquardt.h:164:18:   required from ‘Eigen::LevenbergMarquardtSpace::Status Eigen::LevenbergMarquardt<FunctorType, Scalar>::minimize(Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType&) [with FunctorType = {anonymous}::GaussianFunctorDouble; Scalar = double; Eigen::LevenbergMarquardt<FunctorType, Scalar>::FVectorType = Eigen::Matrix<double, -1, 1>]’
07-Jul-2023 02:46:42 /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:821:29:   required from here
07-Jul-2023 02:46:42 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:86:63: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:42 MayLinearVectorize = bool(MightVectorize) && MayLinearize && DstHasDirectAccess
07-Jul-2023 02:46:42 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:42 In file included from /usr/include/eigen3/Eigen/Core:420,
07-Jul-2023 02:46:42 from /source/work/sakura-libsakura-5.1.3/libsakura/src/numeric_operation.cc:36:
07-Jul-2023 02:46:42 /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:90:50: warning: enum constant in boolean context [-Wint-in-bool-context]
07-Jul-2023 02:46:42 MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
07-Jul-2023 02:46:42 ^~~~~~~~~~~~~~~~~~~~~~~~
07-Jul-2023 02:46:42 cc1plus: warning: unrecognized command line option ‘-Wno-deprecated-register’
07-Jul-2023 02:46:42 [100%] Linking CXX shared library libsakura.so
07-Jul-2023 02:46:42 [100%] Built target sakura
07-Jul-2023 02:46:42 Install the project...
07-Jul-2023 02:46:42 -- Install configuration: "RelWithDebInfo"
07-Jul-2023 02:46:42 -- Installing: /source/casainstall/lib/pkgconfig/libsakura.pc
07-Jul-2023 02:46:42 -- Installing: /source/casainstall/lib/libsakura.so.5.1
07-Jul-2023 02:46:42 -- Installing: /source/casainstall/lib/libsakura.so.5
07-Jul-2023 02:46:42 -- Installing: /source/casainstall/lib/libsakura.so
07-Jul-2023 02:46:42 -- Installing: /source/casainstall/include/libsakura/sakura.h
07-Jul-2023 02:46:42 -- Installing: /source/casainstall/include/libsakura/config.h
07-Jul-2023 02:46:42 Installing data
07-Jul-2023 02:46:42 % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
07-Jul-2023 02:46:42 Dload  Upload   Total   Spent    Left  Speed
07-Jul-2023 02:46:42 0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
07-Jul-2023 02:46:42   0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
07-Jul-2023 02:46:42   0 19.4M    0  123k    0     0  71052      0  0:04:47  0:00:01  0:04:46 71052
07-Jul-2023 02:46:42 45 19.4M   45 9084k    0     0  3278k      0  0:00:06  0:00:02  0:00:04 3277k
07-Jul-2023 02:46:42 100 19.4M  100 19.4M    0     0  5885k      0  0:00:03  0:00:03 --:--:-- 5885k
07-Jul-2023 02:46:42 Building casacore
07-Jul-2023 02:46:42 -- The C compiler identification is GNU 8.5.0
07-Jul-2023 02:46:47 -- The CXX compiler identification is GNU 8.5.0
07-Jul-2023 02:46:47 -- Detecting C compiler ABI info
07-Jul-2023 02:46:47 -- Detecting C compiler ABI info - done
07-Jul-2023 02:46:47 -- Check for working C compiler: /usr/lib64/ccache/cc - skipped
07-Jul-2023 02:46:47 -- Detecting C compile features
07-Jul-2023 02:46:47 -- Detecting C compile features - done
07-Jul-2023 02:46:47 -- Detecting CXX compiler ABI info
07-Jul-2023 02:46:47 -- Detecting CXX compiler ABI info - done
07-Jul-2023 02:46:47 -- Check for working CXX compiler: /usr/lib64/ccache/c++ - skipped
07-Jul-2023 02:46:47 -- Detecting CXX compile features
07-Jul-2023 02:46:47 -- Detecting CXX compile features - done
07-Jul-2023 02:46:47 CMake Deprecation Warning at CMakeLists.txt:6 (cmake_minimum_required):
07-Jul-2023 02:46:47 Compatibility with CMake < 2.8.12 will be removed from a future version of
07-Jul-2023 02:46:47 CMake.
07-Jul-2023 02:46:47
07-Jul-2023 02:46:47 Update the VERSION argument <min> value or use a ...<max> suffix to tell
07-Jul-2023 02:46:47 CMake that the project does not need compatibility with older versions.
07-Jul-2023 02:46:47
07-Jul-2023 02:46:47
07-Jul-2023 02:46:47 CMake Deprecation Warning at CMakeLists.txt:14 (cmake_policy):
07-Jul-2023 02:46:47 The OLD behavior for policy CMP0048 will be removed from a future version
07-Jul-2023 02:46:47 of CMake.
07-Jul-2023 02:46:47
07-Jul-2023 02:46:47 The cmake-policies(7) manual explains that the OLD behaviors of all
07-Jul-2023 02:46:47 policies are deprecated and that a policy should be set to OLD only under
07-Jul-2023 02:46:47 specific short-term circumstances.  Projects should be ported to the NEW
07-Jul-2023 02:46:47 behavior and not rely on setting a policy to OLD.
07-Jul-2023 02:46:47
07-Jul-2023 02:46:47
07-Jul-2023 02:46:47 -- Performing Test HAVE_O_DIRECT
07-Jul-2023 02:46:47 -- Performing Test HAVE_O_DIRECT - Success
07-Jul-2023 02:46:47 -- Searching for ccache.
07-Jul-2023 02:46:47 -- Ccache found.
07-Jul-2023 02:46:47 -- Using namespace casacore.
07-Jul-2023 02:46:47 -- Performing Test HAS_CXX11
07-Jul-2023 02:46:47 -- Performing Test HAS_CXX11 - Success
07-Jul-2023 02:46:47 -- Looking for pread
07-Jul-2023 02:46:47 -- Looking for pread - found
07-Jul-2023 02:46:47 -- Looking for pwrite
07-Jul-2023 02:46:47 -- Looking for pwrite - found
07-Jul-2023 02:46:47 -- The Fortran compiler identification is GNU 8.5.0
07-Jul-2023 02:46:47 -- Detecting Fortran compiler ABI info
07-Jul-2023 02:46:47 -- Detecting Fortran compiler ABI info - done
07-Jul-2023 02:46:47 -- Check for working Fortran compiler: /usr/bin/gfortran - skipped
07-Jul-2023 02:46:47 -- Checking whether /usr/bin/gfortran supports Fortran 90
07-Jul-2023 02:46:47 -- Checking whether /usr/bin/gfortran supports Fortran 90 - yes
07-Jul-2023 02:46:47 -- Performing Test HAS_GXX_FORTRAN_RULES
07-Jul-2023 02:46:47 -- Performing Test HAS_GXX_FORTRAN_RULES - Success
07-Jul-2023 02:46:47 -- Performing Test HAS_GCC_FORTRAN_RULES
07-Jul-2023 02:46:47 -- Performing Test HAS_GCC_FORTRAN_RULES - Success
07-Jul-2023 02:46:47 -- Found Readline: /usr/lib64/libreadline.so
07-Jul-2023 02:46:47 -- Could NOT find SOFA (missing: SOFA_LIBRARY)
07-Jul-2023 02:46:47 -- Found FLEX: /usr/bin/flex
07-Jul-2023 02:46:47 -- Found BISON: /usr/bin/bison
07-Jul-2023 02:46:47 -- Looking for Fortran sgemm
07-Jul-2023 02:46:47 -- Looking for Fortran sgemm - not found
07-Jul-2023 02:46:47 -- Looking for pthread.h
07-Jul-2023 02:46:47 -- Looking for pthread.h - found
07-Jul-2023 02:46:47 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
07-Jul-2023 02:46:47 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
07-Jul-2023 02:46:47 -- Looking for pthread_create in pthreads
07-Jul-2023 02:46:47 -- Looking for pthread_create in pthreads - not found
07-Jul-2023 02:46:47 -- Looking for pthread_create in pthread
07-Jul-2023 02:46:47 -- Looking for pthread_create in pthread - found
07-Jul-2023 02:46:47 -- Found Threads: TRUE
07-Jul-2023 02:46:47 -- Looking for Fortran sgemm
07-Jul-2023 02:46:47 -- Looking for Fortran sgemm - found
07-Jul-2023 02:46:47 -- Found BLAS: /usr/lib64/libblas.so
07-Jul-2023 02:46:47 -- Looking for Fortran cheev
07-Jul-2023 02:46:47 -- Looking for Fortran cheev - not found
07-Jul-2023 02:46:47 -- Looking for Fortran cheev
07-Jul-2023 02:46:47 -- Looking for Fortran cheev - found
07-Jul-2023 02:46:47 -- Found LAPACK: /usr/lib64/liblapack.so;/usr/lib64/libblas.so
07-Jul-2023 02:46:47 -- Found FFTW3: /usr/lib64/libfftw3f_threads.so
07-Jul-2023 02:46:47 -- Found CFITSIO: /usr/lib64/libcfitsio.so (found suitable version "3.470", minimum required is "3.030")
07-Jul-2023 02:46:47 -- Found WCSLIB: /usr/lib64/libwcs.so (found suitable version "7.2", minimum required is "4.7")
07-Jul-2023 02:46:47 -- Found OpenMP_C: -fopenmp (found version "4.5")
07-Jul-2023 02:46:47 -- Found OpenMP_CXX: -fopenmp (found version "4.5")
07-Jul-2023 02:46:47 -- Found OpenMP_Fortran: -fopenmp (found version "4.5")
07-Jul-2023 02:46:47 -- Found OpenMP: TRUE (found version "4.5")
07-Jul-2023 02:46:47 -- Found Pthreads: /usr/lib64/libpthread.so
07-Jul-2023 02:46:47 -- Could NOT find Boost (missing: Boost_INCLUDE_DIR filesystem unit_test_framework system)
07-Jul-2023 02:46:47 -- Could NOT find Boost (missing: Boost_INCLUDE_DIR system filesystem unit_test_framework)
07-Jul-2023 02:46:47 Boost testing framework not found.
07-Jul-2023 02:46:47 -- Looking for python2 specific environment...
07-Jul-2023 02:46:47 CMake Error at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:230 (message):
07-Jul-2023 02:46:47 Could NOT find Python2 (missing: Python2_EXECUTABLE Python2_INCLUDE_DIRS
07-Jul-2023 02:46:47 Python2_LIBRARIES Python2_NumPy_INCLUDE_DIRS Interpreter Development NumPy
07-Jul-2023 02:46:47 Development.Module Development.Embed)
07-Jul-2023 02:46:47
07-Jul-2023 02:46:47 Reason given by package:
07-Jul-2023 02:46:47 Interpreter: Wrong major version for the interpreter "/usr/bin/python"
07-Jul-2023 02:46:47
07-Jul-2023 02:46:47 Call Stack (most recent call first):
07-Jul-2023 02:47:41 /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:594 (_FPHSA_FAILURE_MESSAGE)
07-Jul-2023 02:47:41 /usr/share/cmake/Modules/FindPython/Support.cmake:3165 (find_package_handle_standard_args)
07-Jul-2023 02:47:41 /usr/share/cmake/Modules/FindPython2.cmake:422 (include)
07-Jul-2023 02:47:41 python/CMakeLists-cmake3.14.txt:3 (find_package)
07-Jul-2023 02:47:41 python/CMakeLists.txt:4 (include)
07-Jul-2023 02:47:41
07-Jul-2023 02:47:41
07-Jul-2023 02:47:41 -- Configuring incomplete, errors occurred!
07-Jul-2023 02:47:41 See also "/source/casa6/casatools/casacore/build/CMakeFiles/CMakeOutput.log".
07-Jul-2023 02:47:41 See also "/source/casa6/casatools/casacore/build/CMakeFiles/CMakeError.log".
07-Jul-2023 02:47:41 make: *** No rule to make target 'install'.  Stop.
07-Jul-2023 02:47:41 Build casacpp
07-Jul-2023 02:47:41 CMake Error: The source directory "/source/casa6/casatools/src/code" does not appear to contain CMakeLists.txt.
07-Jul-2023 02:47:41 Specify --help for usage, or press the help button on the CMake GUI.
07-Jul-2023 02:47:41 make: *** No rule to make target 'install'.  Stop.
07-Jul-2023 02:47:41 Building Casatools
07-Jul-2023 02:47:41 Looking in indexes: https://casa-pip.nrao.edu:443/repository/pypi-group/simple, https://pypi.org/simple
07-Jul-2023 02:47:41 Collecting pip
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/08/e3/57d4c24a050aa0bcca46b2920bff40847db79535dc78141eb83581a52eb8/pip-23.1.2-py3-none-any.whl (2.1MB)
07-Jul-2023 02:47:41 Collecting build
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/58/91/17b00d5fac63d3dca605f1b8269ba3c65e98059e1fd99d00283e42a454f0/build-0.10.0-py3-none-any.whl
07-Jul-2023 02:47:41 Collecting wheel
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/61/86/cc8d1ff2ca31a312a25a708c891cf9facbad4eae493b3872638db6785eb5/wheel-0.40.0-py3-none-any.whl (64kB)
07-Jul-2023 02:47:41 Collecting setuptools
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/c7/42/be1c7bbdd83e1bfb160c94b9cafd8e25efc7400346cf7ccdbdb452c467fa/setuptools-68.0.0-py3-none-any.whl (804kB)
07-Jul-2023 02:47:41 Collecting auditwheel
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/fa/47/fc8852c6deaadfdf57c58aefc8fed305fe998367b1b5e352dccd3ca5c36f/auditwheel-5.4.0-py3-none-any.whl (53kB)
07-Jul-2023 02:47:41 Collecting patchelf==0.17.2.1
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/c6/73/c3105c973dd2afcdc5d946ee211d5c4ecdf9d27bb54ae835b144e706e86d/patchelf-0.17.2.1-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.musllinux_1_1_x86_64.whl (425kB)
07-Jul-2023 02:47:41 Collecting packaging>=19.0
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/ab/c3/57f0601a2d4fe15de7a553c00adbc901425661bf048f2a22dfc500caf121/packaging-23.1-py3-none-any.whl (48kB)
07-Jul-2023 02:47:41 Collecting pyproject_hooks
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/d5/ea/9ae603de7fbb3df820b23a70f6aff92bf8c7770043254ad8d2dc9d6bcba4/pyproject_hooks-1.0.0-py3-none-any.whl
07-Jul-2023 02:47:41 Collecting tomli>=1.1.0; python_version < "3.11"
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/97/75/10a9ebee3fd790d20926a90a2547f0bf78f371b2f13aa822c759680ca7b9/tomli-2.0.1-py3-none-any.whl
07-Jul-2023 02:47:41 Collecting pyelftools>=0.24
07-Jul-2023 02:47:41 Downloading https://files.pythonhosted.org/packages/04/7c/867630e6e6293793f838b31034aa1875e1c3bd8c1ec34a0929a2506f350c/pyelftools-0.29-py2.py3-none-any.whl (174kB)
07-Jul-2023 02:47:41 Installing collected packages: pip, packaging, tomli, pyproject-hooks, build, wheel, setuptools, pyelftools, auditwheel, patchelf
07-Jul-2023 02:47:41 Found existing installation: pip 19.3.1
07-Jul-2023 02:47:41 Uninstalling pip-19.3.1:
07-Jul-2023 02:47:41 Successfully uninstalled pip-19.3.1
07-Jul-2023 02:47:41 Found existing installation: setuptools 41.6.0
07-Jul-2023 02:47:41 Uninstalling setuptools-41.6.0:
07-Jul-2023 02:47:41 Successfully uninstalled setuptools-41.6.0
07-Jul-2023 02:47:41 Successfully installed auditwheel-5.4.0 build-0.10.0 packaging-23.1 patchelf-0.17.2.1 pip-23.1.2 pyelftools-0.29 pyproject-hooks-1.0.0 setuptools-68.0.0 tomli-2.0.1 wheel-0.40.0
07-Jul-2023 02:47:41 ERROR Source .. does not appear to be a Python project: no pyproject.toml or setup.py
07-Jul-2023 02:47:41 ./build_casalith_cmake: line 163: cd: /source/casainstall/dist: No such file or directory
07-Jul-2023 02:47:41 usage: auditwheel [-h] [-V] [-v] command ...
07-Jul-2023 02:47:41 auditwheel: error: cannot access *.whl. No such file
07-Jul-2023 02:47:41 ./build_casalith_cmake: line 175: cd: /source/casainstall/dist/wheelhouse/: No such file or directory
07-Jul-2023 02:47:41 cp: cannot stat '/source/casainstall/dist/wheelhouse/': No such file or directory
07-Jul-2023 02:47:41 <casa_cmake> Building casatestutils
07-Jul-2023 02:47:41 6.5.0.4 dirty
07-Jul-2023 02:47:41
07-Jul-2023 02:47:41
07-Jul-2023 02:47:41 Latest commit doesn't have a tag. Adding -dirty flag to version string.
07-Jul-2023 02:47:41 6.5.0.4
07-Jul-2023 02:47:41 6 5 0 4 100  +dirty
07-Jul-2023 02:47:41 6.5.0.4a100.dev+dirty
07-Jul-2023 02:47:41 running bdist_wheel
07-Jul-2023 02:47:41 running build
07-Jul-2023 02:47:41 running build_py
07-Jul-2023 02:47:41 creating build
07-Jul-2023 02:47:41 creating build/lib
07-Jul-2023 02:47:41 creating build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/runtest.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/weblog.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/filltsys.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/extractcasascript.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/listing.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/check.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/xmlhelper.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/restfreqtool.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/compare.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/testhelper.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/selection_syntax.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 copying casatestutils/__init__.py -> build/lib/casatestutils
07-Jul-2023 02:47:41 creating build/lib/testrunner
07-Jul-2023 02:47:41 copying testrunner/xunit.py -> build/lib/testrunner
07-Jul-2023 02:47:41 copying testrunner/run.py -> build/lib/testrunner
07-Jul-2023 02:47:41 copying testrunner/xvfb_helper.py -> build/lib/testrunner
07-Jul-2023 02:47:41 copying testrunner/shell_runner.py -> build/lib/testrunner
07-Jul-2023 02:47:41 copying testrunner/__init__.py -> build/lib/testrunner
07-Jul-2023 02:47:41 creating build/lib/casatestutils/imagerhelpers
07-Jul-2023 02:47:41 copying casatestutils/imagerhelpers/imagetesthelpers.py -> build/lib/casatestutils/imagerhelpers
07-Jul-2023 02:47:41 copying casatestutils/imagerhelpers/__init__.py -> build/lib/casatestutils/imagerhelpers
07-Jul-2023 02:47:41 creating build/lib/casatestutils/stakeholder
07-Jul-2023 02:47:41 copying casatestutils/stakeholder/almastktestutils.py -> build/lib/casatestutils/stakeholder
07-Jul-2023 02:47:41 copying casatestutils/stakeholder/__init__.py -> build/lib/casatestutils/stakeholder
07-Jul-2023 02:47:41 creating build/lib/casatestutils/datahelpers
07-Jul-2023 02:47:41 copying casatestutils/datahelpers/selectTaql.py -> build/lib/casatestutils/datahelpers
07-Jul-2023 02:47:41 copying casatestutils/datahelpers/getTelescope.py -> build/lib/casatestutils/datahelpers
07-Jul-2023 02:47:41 copying casatestutils/datahelpers/__init__.py -> build/lib/casatestutils/datahelpers
07-Jul-2023 02:47:41 copying casatestutils/component_to_test_map.json -> build/lib/casatestutils
07-Jul-2023 02:47:41 installing to build/bdist.linux-x86_64/wheel
07-Jul-2023 02:47:41 running install
07-Jul-2023 02:47:41 running install_lib
07-Jul-2023 02:47:41 creating build/bdist.linux-x86_64
07-Jul-2023 02:47:41 creating build/bdist.linux-x86_64/wheel
07-Jul-2023 02:47:41 creating build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/runtest.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 creating build/bdist.linux-x86_64/wheel/casatestutils/imagerhelpers
07-Jul-2023 02:47:41 copying build/lib/casatestutils/imagerhelpers/imagetesthelpers.py -> build/bdist.linux-x86_64/wheel/casatestutils/imagerhelpers
07-Jul-2023 02:47:41 copying build/lib/casatestutils/imagerhelpers/__init__.py -> build/bdist.linux-x86_64/wheel/casatestutils/imagerhelpers
07-Jul-2023 02:47:41 creating build/bdist.linux-x86_64/wheel/casatestutils/stakeholder
07-Jul-2023 02:47:41 copying build/lib/casatestutils/stakeholder/almastktestutils.py -> build/bdist.linux-x86_64/wheel/casatestutils/stakeholder
07-Jul-2023 02:47:41 copying build/lib/casatestutils/stakeholder/__init__.py -> build/bdist.linux-x86_64/wheel/casatestutils/stakeholder
07-Jul-2023 02:47:41 copying build/lib/casatestutils/weblog.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/filltsys.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/extractcasascript.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/listing.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/check.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/xmlhelper.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/restfreqtool.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/compare.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/testhelper.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 creating build/bdist.linux-x86_64/wheel/casatestutils/datahelpers
07-Jul-2023 02:47:41 copying build/lib/casatestutils/datahelpers/selectTaql.py -> build/bdist.linux-x86_64/wheel/casatestutils/datahelpers
07-Jul-2023 02:47:41 copying build/lib/casatestutils/datahelpers/getTelescope.py -> build/bdist.linux-x86_64/wheel/casatestutils/datahelpers
07-Jul-2023 02:47:41 copying build/lib/casatestutils/datahelpers/__init__.py -> build/bdist.linux-x86_64/wheel/casatestutils/datahelpers
07-Jul-2023 02:47:41 copying build/lib/casatestutils/selection_syntax.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/component_to_test_map.json -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 copying build/lib/casatestutils/__init__.py -> build/bdist.linux-x86_64/wheel/casatestutils
07-Jul-2023 02:47:41 creating build/bdist.linux-x86_64/wheel/testrunner
07-Jul-2023 02:47:41 copying build/lib/testrunner/xunit.py -> build/bdist.linux-x86_64/wheel/testrunner
07-Jul-2023 02:47:41 copying build/lib/testrunner/run.py -> build/bdist.linux-x86_64/wheel/testrunner
07-Jul-2023 02:47:41 copying build/lib/testrunner/xvfb_helper.py -> build/bdist.linux-x86_64/wheel/testrunner
07-Jul-2023 02:47:41 copying build/lib/testrunner/shell_runner.py -> build/bdist.linux-x86_64/wheel/testrunner
07-Jul-2023 02:47:41 copying build/lib/testrunner/__init__.py -> build/bdist.linux-x86_64/wheel/testrunner
07-Jul-2023 02:47:41 running install_egg_info
07-Jul-2023 02:47:41 running egg_info
07-Jul-2023 02:47:41 creating casatestutils.egg-info
07-Jul-2023 02:47:41 writing casatestutils.egg-info/PKG-INFO
07-Jul-2023 02:47:41 writing dependency_links to casatestutils.egg-info/dependency_links.txt
07-Jul-2023 02:47:41 writing requirements to casatestutils.egg-info/requires.txt
07-Jul-2023 02:47:41 writing top-level names to casatestutils.egg-info/top_level.txt
07-Jul-2023 02:47:41 writing manifest file 'casatestutils.egg-info/SOURCES.txt'
07-Jul-2023 02:47:41 reading manifest file 'casatestutils.egg-info/SOURCES.txt'
07-Jul-2023 02:47:41 adding license file 'LICENSE'
07-Jul-2023 02:47:41 writing manifest file 'casatestutils.egg-info/SOURCES.txt'
07-Jul-2023 02:47:41 Copying casatestutils.egg-info to build/bdist.linux-x86_64/wheel/casatestutils-6.5.0.4a100.dev0+dirty-py3.8.egg-info
07-Jul-2023 02:47:41 running install_scripts
07-Jul-2023 02:47:41 creating build/bdist.linux-x86_64/wheel/casatestutils-6.5.0.4a100.dev0+dirty.dist-info/WHEEL
07-Jul-2023 02:47:41 creating 'dist/casatestutils-6.5.0.4a100.dev0+dirty-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
07-Jul-2023 02:47:41 adding 'casatestutils/__init__.py'
07-Jul-2023 02:47:41 adding 'casatestutils/check.py'
07-Jul-2023 02:47:41 adding 'casatestutils/compare.py'
07-Jul-2023 02:47:41 adding 'casatestutils/component_to_test_map.json'
07-Jul-2023 02:47:41 adding 'casatestutils/extractcasascript.py'
07-Jul-2023 02:47:41 adding 'casatestutils/filltsys.py'
07-Jul-2023 02:47:41 adding 'casatestutils/listing.py'
07-Jul-2023 02:47:41 adding 'casatestutils/restfreqtool.py'
07-Jul-2023 02:47:41 adding 'casatestutils/runtest.py'
07-Jul-2023 02:47:41 adding 'casatestutils/selection_syntax.py'
07-Jul-2023 02:47:41 adding 'casatestutils/testhelper.py'
07-Jul-2023 02:47:41 adding 'casatestutils/weblog.py'
07-Jul-2023 02:47:41 adding 'casatestutils/xmlhelper.py'
07-Jul-2023 02:47:41 adding 'casatestutils/datahelpers/__init__.py'
07-Jul-2023 02:47:41 adding 'casatestutils/datahelpers/getTelescope.py'
07-Jul-2023 02:47:41 adding 'casatestutils/datahelpers/selectTaql.py'
07-Jul-2023 02:47:41 adding 'casatestutils/imagerhelpers/__init__.py'
07-Jul-2023 02:47:41 adding 'casatestutils/imagerhelpers/imagetesthelpers.py'
07-Jul-2023 02:47:41 adding 'casatestutils/stakeholder/__init__.py'
07-Jul-2023 02:47:41 adding 'casatestutils/stakeholder/almastktestutils.py'
07-Jul-2023 02:47:41 adding 'testrunner/__init__.py'
07-Jul-2023 02:47:41 adding 'testrunner/run.py'
07-Jul-2023 02:47:41 adding 'testrunner/shell_runner.py'
07-Jul-2023 02:47:41 adding 'testrunner/xunit.py'
07-Jul-2023 02:47:41 adding 'testrunner/xvfb_helper.py'
07-Jul-2023 02:47:41 adding 'casatestutils-6.5.0.4a100.dev0+dirty.dist-info/LICENSE'
07-Jul-2023 02:47:41 adding 'casatestutils-6.5.0.4a100.dev0+dirty.dist-info/METADATA'
07-Jul-2023 02:47:41 adding 'casatestutils-6.5.0.4a100.dev0+dirty.dist-info/WHEEL'
07-Jul-2023 02:47:41 adding 'casatestutils-6.5.0.4a100.dev0+dirty.dist-info/top_level.txt'
07-Jul-2023 02:47:41 adding 'casatestutils-6.5.0.4a100.dev0+dirty.dist-info/RECORD'
07-Jul-2023 02:47:41 removing build/bdist.linux-x86_64/wheel
07-Jul-2023 02:47:41 /source/casa6/casatools/src/tools/build_env/lib64/python3.8/site-packages/setuptools/dist.py:509: InformationOnly: Normalizing '6.5.0.4a100.dev+dirty' to '6.5.0.4a100.dev0+dirty'
07-Jul-2023 02:47:41 self.metadata.version = self._normalize_version(
07-Jul-2023 02:47:41 /source/casa6/casatools/src/tools/build_env/lib64/python3.8/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
07-Jul-2023 02:47:41 !!
07-Jul-2023 02:47:41
07-Jul-2023 02:47:41 ********************************************************************************
07-Jul-2023 02:47:41 Please avoid running ``setup.py`` directly.
07-Jul-2023 02:47:41 Instead, use pypa/build, pypa/installer or other
07-Jul-2023 02:47:41 standards-based tools.
07-Jul-2023 02:47:41
07-Jul-2023 02:47:41 See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
07-Jul-2023 02:47:41 ********************************************************************************
07-Jul-2023 02:47:41
07-Jul-2023 02:47:41 !!
07-Jul-2023 02:47:41 self.initialize_options()
07-Jul-2023 02:47:41 Build target set to casatools. Done.
07-Jul-2023 02:47:41 Finished task 'Create Casatools Wheel' with result: Success
07-Jul-2023 02:47:41 Starting task 'Clean up' of type 'com.atlassian.bamboo.plugins.scripttask:task.builder.script'
07-Jul-2023 02:47:41
Beginning to execute external process for build 'CASA - CMake CI Build - CAS-13791 - ManyLinux 2.28 #2 (CASA-CMAKECI55-ML228-2)'
... running command line:
/export/home/cbt-el7-6/bamboohome/temp/CASA-CMAKECI55-ML228-2-ScriptBuildTask-4425561653495351347.sh
... in: /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CMAKECI55-ML228
07-Jul-2023 02:47:41 Starting cleanup
07-Jul-2023 02:47:41 Error response from daemon: No such container: build_container
07-Jul-2023 02:47:51 casalith_container
07-Jul-2023 02:47:51 Error response from daemon: No such container: build_container
07-Jul-2023 02:47:52 casalith_container
07-Jul-2023 02:47:52 Cleanup complete
07-Jul-2023 02:47:52 Finished task 'Clean up' with result: Success
07-Jul-2023 02:47:52 Running post build plugin 'Docker Container Cleanup'
07-Jul-2023 02:47:52
Beginning to execute external process for build 'CASA - CMake CI Build - CAS-13791 - ManyLinux 2.28 #2 (CASA-CMAKECI55-ML228-2)'
... running command line:
/bin/docker rm -f casalith_container
... in: /export/home/cbt-el7-6/bamboohome/xml-data/build-dir/CASA-CMAKECI55-ML228
07-Jul-2023 02:47:52 Error response from daemon: No such container: casalith_container
07-Jul-2023 02:47:52 Running post build plugin 'NCover Results Collector'
07-Jul-2023 02:47:52 Running post build plugin 'Clover Results Collector'
07-Jul-2023 02:47:52 Running post build plugin 'npm Cache Cleanup'
07-Jul-2023 02:47:52 Running post build plugin 'Artifact Copier'
07-Jul-2023 02:47:52 Publishing an artifact: ManyLinux228 Python 3.8 Tool wheel
07-Jul-2023 02:47:52 Unable to publish artifact [ManyLinux228 Python 3.8 Tool wheel]:
07-Jul-2023 02:47:52 The artifact is required, build will now fail.
07-Jul-2023 02:47:52 The artifact hasn't been successfully published after 65.11 ms
07-Jul-2023 02:47:52 Publishing an artifact: ManyLinux228 Casatestutils
07-Jul-2023 02:47:52 Finished publishing of artifact Required shared artifact: [ManyLinux228 Casatestutils], pattern: [casatestutils*.whl] anchored at: [source/wheels] in 34.63 ms
07-Jul-2023 02:47:52 Finalising the build...
07-Jul-2023 02:47:52 Stopping timer.
07-Jul-2023 02:47:52 Build CASA-CMAKECI55-ML228-2 completed.
07-Jul-2023 02:47:52 Running on server: post build plugin 'NCover Results Collector'
07-Jul-2023 02:47:52 Running on server: post build plugin 'Build Hanging Detection Configuration'
07-Jul-2023 02:47:52 Running on server: post build plugin 'Clover Delta Calculator'
07-Jul-2023 02:47:52 Running on server: post build plugin 'Maven Dependencies Postprocessor'
07-Jul-2023 02:47:52 All post build plugins have finished
07-Jul-2023 02:47:52 Generating build results summary...
07-Jul-2023 02:47:52 Saving build results to disk...
07-Jul-2023 02:47:52 Store variable context...
07-Jul-2023 02:47:52 Indexing build results...
07-Jul-2023 02:47:52 Finished building CASA-CMAKECI55-ML228-2.