Package evaluation of QuantumNPA on Julia 1.13.0-DEV.1080 (ed57414aec*) started at 2025-09-04T17:06:52.144 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.91s ################################################################################ # Installation # Installing QuantumNPA... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [5cd12e4b] + QuantumNPA v0.1.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.0 ⌅ [0a1fb500] + BlockDiagonals v0.1.42 [d360d2e6] + ChainRulesCore v1.26.0 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [861a8166] + Combinatorics v1.0.3 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [864edb3b] + DataStructures v0.19.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [1a297f60] + FillArrays v1.13.0 [26cc04aa] + FiniteDifferences v0.12.32 [f6369f11] + ForwardDiff v1.1.0 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [4076af6c] + JuMP v1.29.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.43.0 [d8a4904e] + MutableArithmetics v1.6.4 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [5cd12e4b] + QuantumNPA v0.1.0 [708f8203] + Richardson v1.4.2 [c946c3f1] + SCS v2.2.0 [276daf66] + SpecialFunctions v2.5.1 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [3bb67fe8] + TranscodingStreams v0.11.3 [6e34b625] + Bzip2_jll v1.0.9+0 [1d63c593] + LLVMOpenMP_jll v18.1.8+0 [656ef2d0] + OpenBLAS32_jll v0.3.29+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f4f2fc5b] + SCS_jll v3.2.8+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.65s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 45.69s ################################################################################ # Testing # Testing QuantumNPA Status `/tmp/jl_JUqV4q/Project.toml` ⌅ [0a1fb500] BlockDiagonals v0.1.42 [861a8166] Combinatorics v1.0.3 [4076af6c] JuMP v1.29.0 [5cd12e4b] QuantumNPA v0.1.0 [c946c3f1] SCS v2.2.0 [37e2e46d] LinearAlgebra v1.13.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_JUqV4q/Manifest.toml` [6e4b80f9] BenchmarkTools v1.6.0 ⌅ [0a1fb500] BlockDiagonals v0.1.42 [d360d2e6] ChainRulesCore v1.26.0 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.0.3 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [864edb3b] DataStructures v0.19.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 [1a297f60] FillArrays v1.13.0 [26cc04aa] FiniteDifferences v0.12.32 [f6369f11] ForwardDiff v1.1.0 [92d709cd] IrrationalConstants v0.2.4 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.3 [4076af6c] JuMP v1.29.0 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [b8f27783] MathOptInterface v1.43.0 [d8a4904e] MutableArithmetics v1.6.4 [77ba4419] NaNMath v1.1.3 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [5cd12e4b] QuantumNPA v0.1.0 [708f8203] Richardson v1.4.2 [c946c3f1] SCS v2.2.0 [276daf66] SpecialFunctions v2.5.1 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [856f2bd8] StructTypes v1.11.0 [3bb67fe8] TranscodingStreams v0.11.3 [6e34b625] Bzip2_jll v1.0.9+0 [1d63c593] LLVMOpenMP_jll v18.1.8+0 [656ef2d0] OpenBLAS32_jll v0.3.29+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f4f2fc5b] SCS_jll v3.2.8+0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Test Summary: | Pass Total Time Tests of basic operator properties | 20 20 18.9s Test Summary: | Pass Total Time Test with matrix coefficients | 1 1 3.0s Test Summary: | Pass Total Time Tests with dichotomic & multiparty operators | 7 7 0.1s Test Summary: | Pass Total Time Some simple type checks | 9 9 0.5s Tests of npa_max() : Error During Test at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:118 Test threw exception Expression: ≈(npa_max(S, 2), sqrt(8), atol = 0.001) MethodError: dot(::SparseArrays.SparseMatrixCSC{Float64, Int64}, ::LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}) is ambiguous. Candidates: dot(A::SparseArrays.SparseMatrixCSC, B::LinearAlgebra.Symmetric{var"#s167", S} where {var"#s167"<:MutableArithmetics.AbstractMutable, S<:(AbstractMatrix{<:var"#s167"})}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:241 dot(A::SparseArrays.AbstractSparseMatrixCSC, B::Union{SubArray{<:Any, 2, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Adjoint{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Hermitian{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.LowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Symmetric{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Transpose{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitLowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitUpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperHessenberg{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, StridedMatrix, BitMatrix}) @ SparseArrays /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/linalg.jl:666 Possible fix, define dot(::SparseArrays.SparseMatrixCSC, ::LinearAlgebra.Symmetric{var"#s167", <:Union{Base.ReinterpretArray{T, 2, S, A, IsReshaped} where {T<:var"#s167", A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, 2, A} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, SubArray{T, 2, A, I} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, N, A} where {T, N, A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, DenseArray}, I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex, AbstractRange{<:Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}, Base.ReshapedArray{T, N, A, Tuple{}} where {T, N, A<:AbstractUnitRange}, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}}}, DenseMatrix{T} where T<:var"#s167", SparseArrays.AbstractSparseMatrix{Tv} where Tv<:var"#s167"}} where var"#s167"<:MutableArithmetics.AbstractMutable) Stacktrace: [1] (::QuantumNPA.var"#137#138")(::Tuple{SparseArrays.SparseMatrixCSC{Float64, Int64}, LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}) @ QuantumNPA ./none:-1 [2] MappingRF @ ./reduce.jl:98 [inlined] [3] _foldl_impl(op::Base.MappingRF{QuantumNPA.var"#137#138", Base.BottomRF{typeof(Base.add_sum)}}, init::Base._InitialValue, itr::Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}) @ Base ./reduce.jl:56 [4] foldl_impl @ ./reduce.jl:46 [inlined] [5] mapfoldl_impl @ ./reduce.jl:42 [inlined] [6] mapfoldl @ ./reduce.jl:173 [inlined] [7] mapreduce @ ./reduce.jl:305 [inlined] [8] sum @ ./reduce.jl:534 [inlined] [9] sum(a::Base.Generator{Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}, QuantumNPA.var"#137#138"}) @ Base ./reduce.jl:563 [10] sdp2jump_d(expr::Polynomial, ineqs::Vector{Polynomial}; sense::Symbol, solver::Type, silent::Bool) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:298 [11] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(sdp2jump_d), expr::Polynomial, ineqs::Vector{Polynomial}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:285 [12] #npa2jump_d#149 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:392 [inlined] [13] npa2jump_d @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:390 [inlined] [14] #npa_opt#151 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:405 [inlined] [15] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(QuantumNPA.npa_opt), expr::Polynomial, level_or_moments::Int64) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:404 [16] npa_max(expr::Polynomial, level::Int64) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:412 [17] top-level scope @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:116 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [19] macro expansion @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:118 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:748 [inlined] Tests of npa_max() : Error During Test at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:125 Test threw exception Expression: ≈(npa_max(S, "1 + A B + A C + B C"), sqrt(32), atol = 0.001) MethodError: dot(::SparseArrays.SparseMatrixCSC{Float64, Int64}, ::LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}) is ambiguous. Candidates: dot(A::SparseArrays.SparseMatrixCSC, B::LinearAlgebra.Symmetric{var"#s167", S} where {var"#s167"<:MutableArithmetics.AbstractMutable, S<:(AbstractMatrix{<:var"#s167"})}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:241 dot(A::SparseArrays.AbstractSparseMatrixCSC, B::Union{SubArray{<:Any, 2, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Adjoint{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Hermitian{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.LowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Symmetric{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Transpose{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitLowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitUpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperHessenberg{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, StridedMatrix, BitMatrix}) @ SparseArrays /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/linalg.jl:666 Possible fix, define dot(::SparseArrays.SparseMatrixCSC, ::LinearAlgebra.Symmetric{var"#s167", <:Union{Base.ReinterpretArray{T, 2, S, A, IsReshaped} where {T<:var"#s167", A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, 2, A} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, SubArray{T, 2, A, I} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, N, A} where {T, N, A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, DenseArray}, I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex, AbstractRange{<:Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}, Base.ReshapedArray{T, N, A, Tuple{}} where {T, N, A<:AbstractUnitRange}, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}}}, DenseMatrix{T} where T<:var"#s167", SparseArrays.AbstractSparseMatrix{Tv} where Tv<:var"#s167"}} where var"#s167"<:MutableArithmetics.AbstractMutable) Stacktrace: [1] (::QuantumNPA.var"#137#138")(::Tuple{SparseArrays.SparseMatrixCSC{Float64, Int64}, LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}) @ QuantumNPA ./none:-1 [2] MappingRF @ ./reduce.jl:98 [inlined] [3] _foldl_impl(op::Base.MappingRF{QuantumNPA.var"#137#138", Base.BottomRF{typeof(Base.add_sum)}}, init::Base._InitialValue, itr::Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}) @ Base ./reduce.jl:56 [4] foldl_impl @ ./reduce.jl:46 [inlined] [5] mapfoldl_impl @ ./reduce.jl:42 [inlined] [6] mapfoldl @ ./reduce.jl:173 [inlined] [7] mapreduce @ ./reduce.jl:305 [inlined] [8] sum @ ./reduce.jl:534 [inlined] [9] sum(a::Base.Generator{Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}, QuantumNPA.var"#137#138"}) @ Base ./reduce.jl:563 [10] sdp2jump_d(expr::Polynomial, ineqs::Vector{Polynomial}; sense::Symbol, solver::Type, silent::Bool) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:298 [11] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(sdp2jump_d), expr::Polynomial, ineqs::Vector{Polynomial}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:285 [12] #npa2jump_d#149 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:392 [inlined] [13] npa2jump_d @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:390 [inlined] [14] #npa_opt#151 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:405 [inlined] [15] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(QuantumNPA.npa_opt), expr::Polynomial, level_or_moments::String) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:404 [16] npa_max(expr::Polynomial, level::String) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:412 [17] top-level scope @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:116 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [19] macro expansion @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:125 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:748 [inlined] Tests of npa_max() : Error During Test at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:132 Test threw exception Expression: ≈(npa_max(S, "1 + A B + A^2 B"), f(b, a), atol = 0.001) MethodError: dot(::SparseArrays.SparseMatrixCSC{Float64, Int64}, ::LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}) is ambiguous. Candidates: dot(A::SparseArrays.SparseMatrixCSC, B::LinearAlgebra.Symmetric{var"#s167", S} where {var"#s167"<:MutableArithmetics.AbstractMutable, S<:(AbstractMatrix{<:var"#s167"})}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:241 dot(A::SparseArrays.AbstractSparseMatrixCSC, B::Union{SubArray{<:Any, 2, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Adjoint{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Hermitian{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.LowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Symmetric{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Transpose{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitLowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitUpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperHessenberg{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, StridedMatrix, BitMatrix}) @ SparseArrays /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/linalg.jl:666 Possible fix, define dot(::SparseArrays.SparseMatrixCSC, ::LinearAlgebra.Symmetric{var"#s167", <:Union{Base.ReinterpretArray{T, 2, S, A, IsReshaped} where {T<:var"#s167", A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, 2, A} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, SubArray{T, 2, A, I} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, N, A} where {T, N, A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, DenseArray}, I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex, AbstractRange{<:Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}, Base.ReshapedArray{T, N, A, Tuple{}} where {T, N, A<:AbstractUnitRange}, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}}}, DenseMatrix{T} where T<:var"#s167", SparseArrays.AbstractSparseMatrix{Tv} where Tv<:var"#s167"}} where var"#s167"<:MutableArithmetics.AbstractMutable) Stacktrace: [1] (::QuantumNPA.var"#137#138")(::Tuple{SparseArrays.SparseMatrixCSC{Float64, Int64}, LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}) @ QuantumNPA ./none:-1 [2] MappingRF @ ./reduce.jl:98 [inlined] [3] _foldl_impl(op::Base.MappingRF{QuantumNPA.var"#137#138", Base.BottomRF{typeof(Base.add_sum)}}, init::Base._InitialValue, itr::Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}) @ Base ./reduce.jl:56 [4] foldl_impl @ ./reduce.jl:46 [inlined] [5] mapfoldl_impl @ ./reduce.jl:42 [inlined] [6] mapfoldl @ ./reduce.jl:173 [inlined] [7] mapreduce @ ./reduce.jl:305 [inlined] [8] sum @ ./reduce.jl:534 [inlined] [9] sum(a::Base.Generator{Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}, QuantumNPA.var"#137#138"}) @ Base ./reduce.jl:563 [10] sdp2jump_d(expr::Polynomial, ineqs::Vector{Polynomial}; sense::Symbol, solver::Type, silent::Bool) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:298 [11] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(sdp2jump_d), expr::Polynomial, ineqs::Vector{Polynomial}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:285 [12] #npa2jump_d#149 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:392 [inlined] [13] npa2jump_d @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:390 [inlined] [14] #npa_opt#151 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:405 [inlined] [15] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(QuantumNPA.npa_opt), expr::Polynomial, level_or_moments::String) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:404 [16] npa_max(expr::Polynomial, level::String) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:412 [17] top-level scope @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:116 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [19] macro expansion @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:132 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:748 [inlined] Tests of npa_max() : Error During Test at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:139 Test threw exception Expression: ≈(npa_max(A1, 2, eq = eq_constraints), f(1.4, 1.4), atol = 0.001) MethodError: dot(::SparseArrays.SparseMatrixCSC{Float64, Int64}, ::LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}) is ambiguous. Candidates: dot(A::SparseArrays.SparseMatrixCSC, B::LinearAlgebra.Symmetric{var"#s167", S} where {var"#s167"<:MutableArithmetics.AbstractMutable, S<:(AbstractMatrix{<:var"#s167"})}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:241 dot(A::SparseArrays.AbstractSparseMatrixCSC, B::Union{SubArray{<:Any, 2, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Adjoint{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Hermitian{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.LowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Symmetric{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Transpose{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitLowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitUpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperHessenberg{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, StridedMatrix, BitMatrix}) @ SparseArrays /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/linalg.jl:666 Possible fix, define dot(::SparseArrays.SparseMatrixCSC, ::LinearAlgebra.Symmetric{var"#s167", <:Union{Base.ReinterpretArray{T, 2, S, A, IsReshaped} where {T<:var"#s167", A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, 2, A} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, SubArray{T, 2, A, I} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, N, A} where {T, N, A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, DenseArray}, I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex, AbstractRange{<:Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}, Base.ReshapedArray{T, N, A, Tuple{}} where {T, N, A<:AbstractUnitRange}, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}}}, DenseMatrix{T} where T<:var"#s167", SparseArrays.AbstractSparseMatrix{Tv} where Tv<:var"#s167"}} where var"#s167"<:MutableArithmetics.AbstractMutable) Stacktrace: [1] (::QuantumNPA.var"#137#138")(::Tuple{SparseArrays.SparseMatrixCSC{Float64, Int64}, LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}) @ QuantumNPA ./none:-1 [2] MappingRF @ ./reduce.jl:98 [inlined] [3] _foldl_impl(op::Base.MappingRF{QuantumNPA.var"#137#138", Base.BottomRF{typeof(Base.add_sum)}}, init::Base._InitialValue, itr::Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}) @ Base ./reduce.jl:56 [4] foldl_impl @ ./reduce.jl:46 [inlined] [5] mapfoldl_impl @ ./reduce.jl:42 [inlined] [6] mapfoldl @ ./reduce.jl:173 [inlined] [7] mapreduce @ ./reduce.jl:305 [inlined] [8] sum @ ./reduce.jl:534 [inlined] [9] sum(a::Base.Generator{Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}, QuantumNPA.var"#137#138"}) @ Base ./reduce.jl:563 [10] sdp2jump_d(expr::Polynomial, ineqs::Vector{Polynomial}; sense::Symbol, solver::Type, silent::Bool) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:298 [11] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(sdp2jump_d), expr::Polynomial, ineqs::Vector{Polynomial}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:285 [12] #npa2jump_d#149 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:392 [inlined] [13] npa2jump_d @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:390 [inlined] [14] #npa_opt#151 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:405 [inlined] [15] npa_opt @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:404 [inlined] [16] kwcall(::@NamedTuple{eq::Vector{Polynomial}}, ::typeof(npa_max), expr::Monomial, level::Int64) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:412 [17] top-level scope @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:116 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [19] macro expansion @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:139 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:748 [inlined] Tests of npa_max() : Error During Test at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:145 Test threw exception Expression: ≈(npa_max(S, 1), 0.5 * (sqrt(2.0) - 1), atol = 0.001) MethodError: dot(::SparseArrays.SparseMatrixCSC{Float64, Int64}, ::LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}) is ambiguous. Candidates: dot(A::SparseArrays.SparseMatrixCSC, B::LinearAlgebra.Symmetric{var"#s167", S} where {var"#s167"<:MutableArithmetics.AbstractMutable, S<:(AbstractMatrix{<:var"#s167"})}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:241 dot(A::SparseArrays.AbstractSparseMatrixCSC, B::Union{SubArray{<:Any, 2, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Adjoint{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Hermitian{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.LowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Symmetric{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Transpose{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitLowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitUpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperHessenberg{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, StridedMatrix, BitMatrix}) @ SparseArrays /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/linalg.jl:666 Possible fix, define dot(::SparseArrays.SparseMatrixCSC, ::LinearAlgebra.Symmetric{var"#s167", <:Union{Base.ReinterpretArray{T, 2, S, A, IsReshaped} where {T<:var"#s167", A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, 2, A} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, SubArray{T, 2, A, I} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, N, A} where {T, N, A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, DenseArray}, I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex, AbstractRange{<:Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}, Base.ReshapedArray{T, N, A, Tuple{}} where {T, N, A<:AbstractUnitRange}, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}}}, DenseMatrix{T} where T<:var"#s167", SparseArrays.AbstractSparseMatrix{Tv} where Tv<:var"#s167"}} where var"#s167"<:MutableArithmetics.AbstractMutable) Stacktrace: [1] (::QuantumNPA.var"#137#138")(::Tuple{SparseArrays.SparseMatrixCSC{Float64, Int64}, LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}) @ QuantumNPA ./none:-1 [2] MappingRF @ ./reduce.jl:98 [inlined] [3] _foldl_impl(op::Base.MappingRF{QuantumNPA.var"#137#138", Base.BottomRF{typeof(Base.add_sum)}}, init::Base._InitialValue, itr::Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}) @ Base ./reduce.jl:56 [4] foldl_impl @ ./reduce.jl:46 [inlined] [5] mapfoldl_impl @ ./reduce.jl:42 [inlined] [6] mapfoldl @ ./reduce.jl:173 [inlined] [7] mapreduce @ ./reduce.jl:305 [inlined] [8] sum @ ./reduce.jl:534 [inlined] [9] sum(a::Base.Generator{Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}, QuantumNPA.var"#137#138"}) @ Base ./reduce.jl:563 [10] sdp2jump_d(expr::Polynomial, ineqs::Vector{Polynomial}; sense::Symbol, solver::Type, silent::Bool) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:298 [11] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(sdp2jump_d), expr::Polynomial, ineqs::Vector{Polynomial}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:285 [12] #npa2jump_d#149 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:392 [inlined] [13] npa2jump_d @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:390 [inlined] [14] #npa_opt#151 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:405 [inlined] [15] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(QuantumNPA.npa_opt), expr::Polynomial, level_or_moments::Int64) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:404 [16] npa_max(expr::Polynomial, level::Int64) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:412 [17] top-level scope @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:116 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [19] macro expansion @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:145 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:748 [inlined] Tests of npa_max() : Error During Test at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:148 Test threw exception Expression: ≈(npa_max(cglmp(3), "1 + A B"), 1 + sqrt(11 / 3), atol = 0.001) MethodError: dot(::SparseArrays.SparseMatrixCSC{Float64, Int64}, ::LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}) is ambiguous. Candidates: dot(A::SparseArrays.SparseMatrixCSC, B::LinearAlgebra.Symmetric{var"#s167", S} where {var"#s167"<:MutableArithmetics.AbstractMutable, S<:(AbstractMatrix{<:var"#s167"})}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:241 dot(A::SparseArrays.AbstractSparseMatrixCSC, B::Union{SubArray{<:Any, 2, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Adjoint{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Hermitian{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.LowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Symmetric{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Transpose{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitLowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitUpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperHessenberg{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, StridedMatrix, BitMatrix}) @ SparseArrays /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/linalg.jl:666 Possible fix, define dot(::SparseArrays.SparseMatrixCSC, ::LinearAlgebra.Symmetric{var"#s167", <:Union{Base.ReinterpretArray{T, 2, S, A, IsReshaped} where {T<:var"#s167", A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, 2, A} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, SubArray{T, 2, A, I} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, N, A} where {T, N, A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, DenseArray}, I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex, AbstractRange{<:Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}, Base.ReshapedArray{T, N, A, Tuple{}} where {T, N, A<:AbstractUnitRange}, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}}}, DenseMatrix{T} where T<:var"#s167", SparseArrays.AbstractSparseMatrix{Tv} where Tv<:var"#s167"}} where var"#s167"<:MutableArithmetics.AbstractMutable) Stacktrace: [1] (::QuantumNPA.var"#137#138")(::Tuple{SparseArrays.SparseMatrixCSC{Float64, Int64}, LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}) @ QuantumNPA ./none:-1 [2] MappingRF @ ./reduce.jl:98 [inlined] [3] _foldl_impl(op::Base.MappingRF{QuantumNPA.var"#137#138", Base.BottomRF{typeof(Base.add_sum)}}, init::Base._InitialValue, itr::Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}) @ Base ./reduce.jl:56 [4] foldl_impl @ ./reduce.jl:46 [inlined] [5] mapfoldl_impl @ ./reduce.jl:42 [inlined] [6] mapfoldl @ ./reduce.jl:173 [inlined] [7] mapreduce @ ./reduce.jl:305 [inlined] [8] sum @ ./reduce.jl:534 [inlined] [9] sum(a::Base.Generator{Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}, QuantumNPA.var"#137#138"}) @ Base ./reduce.jl:563 [10] sdp2jump_d(expr::Polynomial, ineqs::Vector{Polynomial}; sense::Symbol, solver::Type, silent::Bool) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:298 [11] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(sdp2jump_d), expr::Polynomial, ineqs::Vector{Polynomial}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:285 [12] #npa2jump_d#149 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:392 [inlined] [13] npa2jump_d @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:390 [inlined] [14] #npa_opt#151 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:405 [inlined] [15] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(QuantumNPA.npa_opt), expr::Polynomial, level_or_moments::String) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:404 [16] npa_max(expr::Polynomial, level::String) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:412 [17] top-level scope @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:116 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [19] macro expansion @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:148 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:748 [inlined] Tests of npa_max() : Error During Test at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:152 Test threw exception Expression: ≈(npa_max(AX, "1 + A B", eq = [AZ * B2 - 0.8Id]), sqrt(1 - 0.8 ^ 2), atol = 0.001) MethodError: dot(::SparseArrays.SparseMatrixCSC{Float64, Int64}, ::LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}) is ambiguous. Candidates: dot(A::SparseArrays.SparseMatrixCSC, B::LinearAlgebra.Symmetric{var"#s167", S} where {var"#s167"<:MutableArithmetics.AbstractMutable, S<:(AbstractMatrix{<:var"#s167"})}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:241 dot(A::SparseArrays.AbstractSparseMatrixCSC, B::Union{SubArray{<:Any, 2, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Adjoint{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Hermitian{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.LowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Symmetric{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Transpose{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitLowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitUpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperHessenberg{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, StridedMatrix, BitMatrix}) @ SparseArrays /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/linalg.jl:666 Possible fix, define dot(::SparseArrays.SparseMatrixCSC, ::LinearAlgebra.Symmetric{var"#s167", <:Union{Base.ReinterpretArray{T, 2, S, A, IsReshaped} where {T<:var"#s167", A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, 2, A} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, SubArray{T, 2, A, I} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, N, A} where {T, N, A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, DenseArray}, I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex, AbstractRange{<:Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}, Base.ReshapedArray{T, N, A, Tuple{}} where {T, N, A<:AbstractUnitRange}, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}}}, DenseMatrix{T} where T<:var"#s167", SparseArrays.AbstractSparseMatrix{Tv} where Tv<:var"#s167"}} where var"#s167"<:MutableArithmetics.AbstractMutable) Stacktrace: [1] (::QuantumNPA.var"#137#138")(::Tuple{SparseArrays.SparseMatrixCSC{Float64, Int64}, LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}) @ QuantumNPA ./none:-1 [2] MappingRF @ ./reduce.jl:98 [inlined] [3] _foldl_impl(op::Base.MappingRF{QuantumNPA.var"#137#138", Base.BottomRF{typeof(Base.add_sum)}}, init::Base._InitialValue, itr::Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}) @ Base ./reduce.jl:56 [4] foldl_impl @ ./reduce.jl:46 [inlined] [5] mapfoldl_impl @ ./reduce.jl:42 [inlined] [6] mapfoldl @ ./reduce.jl:173 [inlined] [7] mapreduce @ ./reduce.jl:305 [inlined] [8] sum @ ./reduce.jl:534 [inlined] [9] sum(a::Base.Generator{Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}, QuantumNPA.var"#137#138"}) @ Base ./reduce.jl:563 [10] sdp2jump_d(expr::Polynomial, ineqs::Vector{Polynomial}; sense::Symbol, solver::Type, silent::Bool) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:298 [11] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(sdp2jump_d), expr::Polynomial, ineqs::Vector{Polynomial}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:285 [12] #npa2jump_d#149 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:392 [inlined] [13] npa2jump_d @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:390 [inlined] [14] #npa_opt#151 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:405 [inlined] [15] npa_opt @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:404 [inlined] [16] kwcall(::@NamedTuple{eq::Vector{Polynomial}}, ::typeof(npa_max), expr::Monomial, level::String) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:412 [17] top-level scope @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:116 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [19] macro expansion @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:152 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:748 [inlined] Tests of npa_max() : Error During Test at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:181 Test threw exception Expression: ≈(npa_max(G, 2, eq = constraints), pguess_sol, atol = 0.001) MethodError: dot(::SparseArrays.SparseMatrixCSC{Float64, Int64}, ::LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}) is ambiguous. Candidates: dot(A::SparseArrays.SparseMatrixCSC, B::LinearAlgebra.Symmetric{var"#s167", S} where {var"#s167"<:MutableArithmetics.AbstractMutable, S<:(AbstractMatrix{<:var"#s167"})}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:241 dot(A::SparseArrays.AbstractSparseMatrixCSC, B::Union{SubArray{<:Any, 2, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Adjoint{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Hermitian{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.LowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Symmetric{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.Transpose{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitLowerTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UnitUpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperHessenberg{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, LinearAlgebra.UpperTriangular{<:Any, <:Union{StridedMatrix, BitMatrix, SparseArrays.AbstractSparseMatrix}}, StridedMatrix, BitMatrix}) @ SparseArrays /opt/julia/share/julia/stdlib/v1.13/SparseArrays/src/linalg.jl:666 Possible fix, define dot(::SparseArrays.SparseMatrixCSC, ::LinearAlgebra.Symmetric{var"#s167", <:Union{Base.ReinterpretArray{T, 2, S, A, IsReshaped} where {T<:var"#s167", A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, 2, A} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, SubArray{T, 2, A, I} where {T<:var"#s167", A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, Base.ReshapedArray{T, N, A} where {T, N, A<:Union{Base.ReinterpretArray{T, N, S, A, IsReshaped} where {T, N, A<:Union{SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}, IsReshaped, S}, SubArray{T, N, A, I, true} where {T, N, A<:DenseArray, I<:Union{Tuple{Vararg{Real}}, Tuple{AbstractUnitRange, Vararg{Any}}}}, DenseArray}}, DenseArray}, I<:Tuple{Vararg{Union{Base.AbstractCartesianIndex, AbstractRange{<:Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}, Base.ReshapedArray{T, N, A, Tuple{}} where {T, N, A<:AbstractUnitRange}, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8}}}}, DenseMatrix{T} where T<:var"#s167", SparseArrays.AbstractSparseMatrix{Tv} where Tv<:var"#s167"}} where var"#s167"<:MutableArithmetics.AbstractMutable) Stacktrace: [1] (::QuantumNPA.var"#137#138")(::Tuple{SparseArrays.SparseMatrixCSC{Float64, Int64}, LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}) @ QuantumNPA ./none:-1 [2] MappingRF @ ./reduce.jl:98 [inlined] [3] _foldl_impl(op::Base.MappingRF{QuantumNPA.var"#137#138", Base.BottomRF{typeof(Base.add_sum)}}, init::Base._InitialValue, itr::Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}) @ Base ./reduce.jl:56 [4] foldl_impl @ ./reduce.jl:46 [inlined] [5] mapfoldl_impl @ ./reduce.jl:42 [inlined] [6] mapfoldl @ ./reduce.jl:173 [inlined] [7] mapreduce @ ./reduce.jl:305 [inlined] [8] sum @ ./reduce.jl:534 [inlined] [9] sum(a::Base.Generator{Base.Iterators.Zip{Tuple{Base.Generator{Vector{Polynomial}, QuantumNPA.var"#135#136"}, Vector{LinearAlgebra.Symmetric{JuMP.VariableRef, Matrix{JuMP.VariableRef}}}}}, QuantumNPA.var"#137#138"}) @ Base ./reduce.jl:563 [10] sdp2jump_d(expr::Polynomial, ineqs::Vector{Polynomial}; sense::Symbol, solver::Type, silent::Bool) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:298 [11] kwcall(::@NamedTuple{sense::Symbol}, ::typeof(sdp2jump_d), expr::Polynomial, ineqs::Vector{Polynomial}) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:285 [12] #npa2jump_d#149 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:392 [inlined] [13] npa2jump_d @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:390 [inlined] [14] #npa_opt#151 @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:405 [inlined] [15] npa_opt @ ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:404 [inlined] [16] kwcall(::@NamedTuple{eq::Vector{Polynomial}}, ::typeof(npa_max), expr::Polynomial, level::Int64) @ QuantumNPA ~/.julia/packages/QuantumNPA/hDbPB/src/npa_impl.jl:412 [17] top-level scope @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:116 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [19] macro expansion @ ~/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:181 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:748 [inlined] Test Summary: | Error Total Time Tests of npa_max() | 8 8 1m24.8s RNG of the outermost testset: Random.Xoshiro(0x95d437d0d1e9c407, 0xb6a5ecaf5823cde4, 0x9a9366a466ad41b5, 0x8277f9ed057281aa, 0x4feed49001d901e2) ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 8 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/QuantumNPA/hDbPB/test/runtests.jl:114 Testing failed after 140.53s ERROR: LoadError: Package QuantumNPA errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2673 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2522 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:538 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:515 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:168 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:157 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [9] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:155 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:308 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:330 [14] _start() @ Base ./client.jl:563 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 225.15s: package tests unexpectedly errored