Package evaluation of QuasiNewtonMethods on Julia 1.13.0-DEV.704 (4632cd28b9*) started at 2025-06-05T17:02:46.519 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.97s ################################################################################ # Installation # Installing QuasiNewtonMethods... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [64452400] + QuasiNewtonMethods v0.1.4 Updating `~/.julia/environments/v1.13/Manifest.toml` [79e6a3ab] + Adapt v4.3.0 [4fba245c] + ArrayInterface v7.19.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.6 [fb6a15b2] + CloseOpenIntervals v0.1.13 [34da2185] + Compat v4.16.0 [adafc99b] + CpuId v0.3.1 [ffbed154] + DocStringExtensions v0.9.4 [3e5b6fbb] + HostCPUFeatures v0.1.17 [615f187c] + IfElse v0.1.1 [10f19ff3] + LayoutPointers v0.1.17 [bdcacae8] + LoopVectorization v0.12.172 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.17.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [64452400] + QuasiNewtonMethods v0.1.4 [ae029012] + Requires v1.3.1 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.43 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.8.0 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [8290d209] + ThreadingUtilities v0.5.4 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.71 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [8e850b90] + libblastrampoline_jll v5.12.0+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 To see why use `status --outdated -m` Installation completed after 2.62s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 203.46s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_bFPKDW/Project.toml` [4c88cf16] Aqua v0.8.13 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_bFPKDW/Manifest.toml` [79e6a3ab] Adapt v4.3.0 [4c88cf16] Aqua v0.8.13 [4fba245c] ArrayInterface v7.19.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.6 [fb6a15b2] CloseOpenIntervals v0.1.13 [34da2185] Compat v4.16.0 [adafc99b] CpuId v0.3.1 [ffbed154] DocStringExtensions v0.9.4 [3e5b6fbb] HostCPUFeatures v0.1.17 [615f187c] IfElse v0.1.1 [10f19ff3] LayoutPointers v0.1.17 [bdcacae8] LoopVectorization v0.12.172 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.28 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [64452400] QuasiNewtonMethods v0.1.4 [ae029012] Requires v1.3.1 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.8.0 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [d1fa6d79] StrideArrays v0.1.29 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [8290d209] ThreadingUtilities v0.5.4 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.71 [33b4df10] VectorizedRNG v0.2.25 [3b853605] VectorizedStatistics v0.5.10 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.12.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.0+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl WARNING: Method definition boundscheck() in module StrideArraysCore at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/ptr_array.jl:897 overwritten at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/StrideArraysCore.jl:75. WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in __vstore!(Ptr{T}, VT, I, A, S, NT, Static.StaticInt{RS}) where {T<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8}, VT<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, SIMDTypes.Bit}, I<:Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, VectorizationBase.LazyMulAdd{var"#s77", var"#s76", var"#s75"} where var"#s75"<:Union{Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where var"#s76" where var"#s77", VectorizationBase.LazyMulAdd{var"#s77", var"#s76", var"#s75"} where var"#s75"<:Union{VectorizationBase.MM{W, X, I} where I<:Union{Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where X, VectorizationBase.Unroll{var"#s77", var"#s76", var"#s75", var"#s41", W, M, X, I} where I where X where M where var"#s41" where var"#s75" where var"#s76" where var"#s77", VectorizationBase.Vec{W, T} where T} where var"#s76" where var"#s77" where W, VectorizationBase.MM{W, X, I} where I<:Union{Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N} where X where W, VectorizationBase.Unroll{var"#s77", var"#s76", var"#s75", var"#s41", W, M, X, I} where I where X where M where var"#s41" where var"#s75" where var"#s76" where var"#s77" where W, VectorizationBase.Vec{W, T} where T where W}, A<:(Static.StaticBool{bool} where bool), S<:(Static.StaticBool{bool} where bool), NT<:(Static.StaticBool{bool} where bool), RS} at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/llvm_intrin/memory_addr.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in __vstore!(Ptr{T}, VT, A, S, NT, Static.StaticInt{RS}) where {T<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8}, VT<:Union{Bool, Float16, Float32, Float64, Int16, Int32, Int64, Int8, UInt16, UInt32, UInt64, UInt8, SIMDTypes.Bit}, A<:(Static.StaticBool{bool} where bool), S<:(Static.StaticBool{bool} where bool), NT<:(Static.StaticBool{bool} where bool), RS} at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/llvm_intrin/memory_addr.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/AsFET/src/ThreadingUtilities.jl Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") does not declare a compat entry for the following extras: 1-element Vector{Base.PkgId}: Test [8dfed614-e22c-5e08-85e1-65c5234f0b40] Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras: Test Failed at /home/pkgeval/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:60 Expression: isempty(result) Evaluated: isempty(Base.PkgId[Base.PkgId(Base.UUID("8dfed614-e22c-5e08-85e1-65c5234f0b40"), "Test")]) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:730 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:60 [3] test_deps_compat @ ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:45 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/1UuaV/src/deps_compat.jl:45 n = 2 WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in randn!(VectorizedRNG.AbstractVRNG{N} where N, AbstractArray{T, N} where N, Number, Any, Any) where {T<:Union{Float32, Float64}} at /home/pkgeval/.julia/packages/VectorizedRNG/2TXSb/src/api.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in optimize!(Any, Any, StrideArraysCore.AbstractStrideArray{T, N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where N, Any, Any) where {T} at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in update_state!(Any, Any, Any) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in step!(Any, Any, Any, Any, Any) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in initial_B⁻¹!(AbstractArray{T, 2} where T) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in BFGS_update!(AbstractArray{T, 2}, Any, Any, Any, Any, Any) where {T} at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in materialize(Base.Broadcast.Broadcasted{S, Axes, F, Args} where Args<:Tuple where F where Axes) where {S<:(StrideArrays.AbstractStrideStyle{S, N} where N where S)} at /home/pkgeval/.julia/packages/StrideArrays/tZEoU/src/broadcast.jl QuasiNewtonMethods.optimum(state) .- 1 = [-6.048161971250465e-12, -1.2205347843519121e-11] WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in gradient(QuasiNewtonMethods.AbstractBFGSState{P, T, L, LT} where LT where L where T where P) at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/src/QuasiNewtonMethods.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in maximum(typeof(Base.abs), StrideArraysCore.AbstractStrideArray{T, N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where N) where {T} at /home/pkgeval/.julia/packages/StrideArrays/tZEoU/src/miscellaneous.jl QuasiNewtonMethods.optimum(state) .- 1 = [-3.0899616199064894e-11, -6.383349404615046e-11] n = 3 WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in copyto!(StrideArraysCore.AbstractStrideArray{var"#s146", N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where var"#s146", StrideArraysCore.AbstractStrideArray{var"#s144", N, R, S, X, O} where O<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where X<:Tuple{Vararg{Union{Nothing, Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N, StrideArraysCore.StrideReset{T} where T}, N}} where S<:Tuple{Vararg{Union{Int128, Int16, Int32, Int64, Int8, UInt128, UInt16, UInt32, UInt64, UInt8, Static.StaticInt{N} where N}, N}} where R where var"#s144") where {N} at /home/pkgeval/.julia/packages/StrideArrays/tZEoU/src/miscellaneous.jl QuasiNewtonMethods.optimum(state) .- 1 = [-1.6638912470057221e-12, -3.301026119117978e-12, -1.995847931368644e-12] QuasiNewtonMethods.optimum(state) .- 1 = [5.631273225503719e-12, 1.148858785882112e-11, -4.517497487199762e-13] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-1.447064690296429e-12, 1.9257928585147965e-12, -2.8048674494129955e-12, 3.8049563499953365e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.33099095581224e-11, -4.775801976109051e-11, -4.5431214346081106e-11, -1.0045508869183095e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8285328806655343e-10, 2.7151170201022978e-11, -3.5159153366493e-10, 5.613975950780059e-11, -9.160339153879704e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.8613556796462944e-12, -1.0568768082919178e-11, -7.69495578367696e-12, -1.9640178372526407e-11, 2.6151525389650487e-11] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [7.0112804451127886e-12, -2.7108648659179835e-11, 9.769962616701378e-13, 1.2140288774276087e-11, -5.246580947471102e-11, 6.090683513093609e-13] QuasiNewtonMethods.optimum(state) .- 1 = [2.5443203099939637e-11, -2.327549264435902e-11, -1.3575363055906564e-11, 4.9530601842207034e-11, -4.776945505824415e-11, -3.3922753495119196e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-1.6294965377028348e-11, -9.715228621587357e-12, -6.19129192358514e-11, -3.1180280579690134e-11, -1.8896995079842327e-11, -1.208124711382652e-10, -3.831845951651758e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.150812943886194e-11, 4.604716608014314e-11, 7.828515613539366e-11, 7.581890670849134e-11, 1.0066925071328114e-10, 1.5272427766888086e-10, 8.970602038971265e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [4.828359934094806e-11, 1.1877610006649775e-11, 1.824609352496509e-10, 1.5480638992926288e-10, 9.449441229492095e-11, 3.4617420041627156e-11, 3.7236724814704303e-10, 2.9576918691986975e-10] QuasiNewtonMethods.optimum(state) .- 1 = [7.205280816435788e-11, 4.849343149260221e-11, 3.939448767198428e-10, -5.493728805205933e-10, 1.5303935896326948e-10, 1.0551248763590593e-10, 7.670655222113965e-10, -1.0958282059547741e-9] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [4.744427073433144e-12, 9.806822021118933e-12, 8.143263841020598e-12, -6.4721561443548126e-12, 9.054978988842777e-12, 2.0663026845113563e-11, 1.6624035481527244e-11, -1.0602518862867782e-11, -2.2293278334473143e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-4.374500761628042e-12, -4.456734981062027e-11, -3.3851255132333335e-11, -3.788880320598764e-11, -1.1189604798289565e-11, -8.624234659748709e-11, -6.66728894316293e-11, -7.290956727246112e-11, -2.234656903965515e-10] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-2.502753559951998e-11, 3.500422174340656e-11, 2.410738275671065e-11, -4.783606843972166e-11, 8.598455281116912e-12, -4.9193427109628374e-11, 6.884914860449953e-11, 4.7456927276812166e-11, -1.0183764942439666e-10, 1.6279866343893445e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.846412408696324e-11, 1.0991252352710035e-10, 2.7572211180881823e-10, -1.5756540516775885e-10, -2.3920865288573623e-11, -1.6180168316282106e-10, 2.225652995235805e-10, 5.403142377957693e-10, -3.107799573243142e-10, -5.351397103225963e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-2.4829693856531776e-11, 2.944600119292318e-11, -1.686395467714874e-11, 1.702664675917731e-10, -1.872502153332789e-12, -5.514588785615615e-11, 5.3646864728307264e-11, -5.1018411717507206e-11, 3.391287251020003e-10, -2.1522783555383285e-12, 1.7628121184998236e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.6879053710283642e-11, -4.580213985860837e-11, -9.198863892834197e-12, 7.224465470301311e-11, 9.864842276385843e-11, -2.670952348182709e-11, -9.496292641131276e-11, -1.4912293622160178e-11, 1.463600352025196e-10, 1.9969559339472198e-10, 1.6324719354088302e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [2.2853940961908847e-10, -1.8953283387190822e-11, -2.0085377805401095e-11, -2.4683144417281255e-10, 9.656586641426657e-11, -2.1698043362050612e-10, 4.5263570669362707e-10, -4.014777399419245e-11, -5.1219584129569284e-11, -4.961988597784739e-10, 1.9967338893422948e-10, -4.33779345776486e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.012068620719901e-11, -1.642563862702673e-11, -1.7852386235972517e-11, -4.964151312236709e-11, 1.2722933817599369e-11, 6.258460416574962e-11, -1.14976805853928e-10, -3.180644636557872e-11, -3.2062907884267133e-11, -1.228593893287666e-10, 1.7289281117882638e-11, 1.2220735534640426e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-8.553713293224519e-12, 2.7389579493330984e-10, 6.695910492737767e-11, -1.4187562236145368e-10, -1.2399103965776703e-10, 3.0979618870219383e-10, -9.958478486282729e-12, 5.454661167192398e-10, 1.2709677754685345e-10, -3.012021743131754e-10, -2.5104907042106106e-10, 6.146425590713989e-10, 1.1007195155343652e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.4690695588656126e-11, 1.4584311536225414e-10, -8.818634711360573e-11, -2.197364512568356e-11, 8.499778658688228e-11, -2.3169921536947413e-10, 9.851297555485417e-11, 2.9329161321811625e-10, -1.7641144101077089e-10, -3.793065861401601e-11, 1.5814127785063192e-10, -4.862042990438908e-10, -3.630040712465643e-11] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [7.050693362486982e-11, -5.857103690942722e-11, 1.802025195729584e-11, -7.93148879907335e-11, 7.773048871229093e-11, 1.2346101918581098e-10, -1.2124745651931335e-10, 1.3869194681603858e-10, -9.940770429039958e-11, 4.128164476924212e-11, -1.4383849666899096e-10, 1.6643375566616214e-10, 2.427404943716738e-10, -2.41851205728949e-10] QuasiNewtonMethods.optimum(state) .- 1 = [5.002664948960955e-13, 2.6394664232043397e-11, 1.0734302335890789e-11, 1.0832668095872577e-11, -7.300049453817792e-12, -2.003841537145945e-11, -8.083089753085915e-12, 6.552536291337674e-13, 5.143463432943918e-11, 2.3556046002681796e-11, 2.1521007198543884e-11, -1.4475864951180029e-11, -4.003619658021762e-11, -1.7086998482795934e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-8.027134512644807e-12, -1.0272893646856573e-11, 4.902300787534841e-12, 6.98752167238581e-12, 2.482769545508745e-11, 5.2414295126368415e-11, -1.5597079183748974e-11, -1.8666401757627682e-11, -1.9751866808803697e-11, 1.2153167361361739e-11, 1.3840484314187051e-11, 4.748579307545242e-11, 1.0616640899741014e-10, -3.2721048093264926e-11, -9.768075237559515e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.829392358767336e-10, 3.045570462489877e-10, 3.6958747173798656e-10, 2.570146317992794e-10, 1.6872947483648204e-10, 3.883369181778562e-10, -1.0330858390972253e-10, -7.69140084955211e-10, 5.922828894000531e-10, 7.330942519701011e-10, 4.932110275746027e-10, 3.47446516002492e-10, 7.609342045356016e-10, -2.1051549392581137e-10, -3.985256569194462e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [6.379852202087477e-11, -4.406064402218135e-11, -8.052858380125372e-11, -2.1186408183382355e-10, -9.327061345487664e-11, 1.2148060335448463e-12, 6.536593488704057e-11, 1.2778333946528164e-10, 1.270439309308813e-10, -9.778211573774342e-11, -1.696424112296313e-10, -4.115734419940509e-10, -1.7614876224314457e-10, -3.835709527777453e-12, 1.301034835421433e-10, 2.695328404911379e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.621036803735933e-11, -5.061784325022245e-11, -8.179090738025252e-11, 9.487766128302155e-11, -2.703653967373043e-10, 3.878453114225522e-11, -2.345116323354546e-10, 2.1515678128025684e-11, -6.726863510664316e-11, -9.902134667783002e-11, -1.7222556714102666e-10, 1.8931123335619304e-10, -5.489192433927315e-10, 7.833178550242792e-11, -4.850654322652304e-10, 4.1054493138403814e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [4.0994541095074055e-11, 2.891602512988811e-10, 3.595923558918912e-11, 2.2090884677083977e-10, 1.079374367662922e-10, 3.218776356561648e-10, 1.670312776980154e-10, -4.587308310988192e-11, 8.752665259237347e-11, 5.784459577995449e-10, 6.875722213806057e-11, 4.4177972391423737e-10, 2.1536727956572577e-10, 6.395604046360859e-10, 3.3417846267980167e-10, -9.336742490262395e-11, 2.4844570845061753e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.3342439092743916e-12, 1.099031976536935e-11, -2.669009457889615e-11, 4.616529380996326e-11, 4.2869707783665945e-11, -6.270095553873034e-12, 2.7813085168304497e-11, 6.905587213168474e-14, -1.1258549648118787e-11, 2.44626541245907e-11, -5.478051345875201e-11, 9.409450996145097e-11, 8.241518578699925e-11, -1.4153678229433808e-11, 5.608247199972993e-11, -1.417754802446325e-12, -2.4018564914740637e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [4.075406678794025e-12, 6.415423747796467e-11, -8.955436392454885e-11, -1.182265396693083e-11, 3.092370803869926e-11, -3.3513636310544825e-11, 3.6072034248491036e-11, 8.061240563961292e-11, -9.150269431046354e-11, 7.070344310022847e-12, 1.267237426105794e-10, -1.7931300888562873e-10, -2.043476499125063e-11, 5.913003420232599e-11, -6.332201429870565e-11, 7.7990947033868e-11, 1.6365353516789582e-10, -1.8147827685055518e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.8132939594295294e-10, -1.0006451223176782e-10, -2.96014324163707e-11, -3.8961722736985394e-11, -9.928424749006126e-11, -1.2565493090477275e-10, 1.697730844796297e-11, -2.4997892644762487e-11, -4.177636014901509e-11, 3.68659103244795e-10, -2.0877988227141486e-10, -5.6795790293051596e-11, -8.546507945794701e-11, -1.888407208383569e-10, -2.6144064690925006e-10, 3.692002259469973e-11, -5.1757154118092785e-11, -8.268008500067481e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-5.6102900103383035e-12, 1.8999690709620154e-11, 5.465694563611123e-11, 7.596145934485321e-12, -2.2992718839986992e-11, -1.543398742143154e-11, 2.0150769941551516e-11, 5.104761058305485e-11, 3.986810881428937e-11, -9.047540494577788e-12, 4.0027092751415694e-11, 1.1103740149565056e-10, 2.7401192426168564e-11, -4.3215209188929293e-11, -3.615552301994285e-11, 3.839306650377239e-11, 8.806289031326742e-11, 7.497091836228265e-11, -2.261080211951594e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.880662706265639e-11, -5.355793586403479e-11, 3.4459768372130384e-11, 5.54771784067043e-11, -2.476152616281979e-11, -3.402833570476105e-11, 3.103717283181595e-11, 1.290274553866766e-10, -5.2846393927552526e-11, -1.405590088765507e-10, -1.0376188797067698e-10, 7.230727128160197e-11, 1.086772893899024e-10, -4.722100488407932e-11, -6.686418085877222e-11, 5.666800362291724e-11, 2.611755256509696e-10, -1.1217504702898395e-10, -6.409317521161029e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-8.006317830933085e-11, -1.2445600106048005e-13, 2.7153612691677154e-11, -3.075817378572765e-11, -1.0097467306735552e-10, -6.378275685392509e-11, -7.0250472106181405e-12, 6.738409830120418e-11, -1.1868095395328737e-10, -7.00920432805674e-11, -1.5352452642503067e-10, 5.871747532637528e-12, 4.950928556013423e-11, -5.0305204446488005e-11, -2.028753831595509e-10, -1.2941114846398705e-10, -3.270828052848174e-11, 1.446993636022853e-10, -2.348160554888068e-10, -1.445074060413276e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.478408920429501e-10, -5.2351123436267244e-11, 3.400220105476137e-10, 1.3867551551527413e-10, -1.0119616256076824e-10, -8.860356892625987e-11, -4.1397640870854957e-10, 2.2667112631324926e-10, 8.314327004654842e-10, -1.383678727151505e-10, -1.2960458262156749e-9, -1.0847700515626002e-10, 6.820990439138086e-10, 2.7935209701013264e-10, -2.1684043449710089e-10, -1.7270396224233764e-10, -8.260498951528916e-10, 4.509361772875309e-10, 1.6687182746721874e-9, -2.7942248514989387e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [4.2558623292165976e-11, 2.4281021637762024e-11, -2.3583923702830134e-10, -2.1163670815838032e-10, 1.000293181618872e-10, 5.931033442152511e-11, 3.81359388512692e-11, 2.6574031863901837e-10, -1.581593744859333e-10, -1.1506906538727435e-10, 7.851674865833047e-11, 4.7973180983262864e-11, -4.815787768563951e-10, -4.0202108309017603e-10, 1.9923684924094687e-10, 1.1227641039113223e-10, 7.98263677381783e-11, 5.254927604170234e-10, -3.157761829797323e-10, -2.2801249777160137e-10, -2.0236035069842728e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.996414227851574e-11, 4.8331116886402015e-11, -1.500970459034079e-10, -3.185653962844981e-10, -2.615685446016869e-12, 1.8082646491279775e-10, -5.972611294424723e-11, 1.7917489714136536e-10, 4.2913006481626326e-11, 1.0326184352038581e-11, -4.315325874415521e-11, 9.09741171284395e-11, -3.0728364297516464e-10, -6.223273008032493e-10, -4.610645198965813e-12, 3.644402557512194e-10, -1.1348222361817761e-10, 3.357061295616859e-10, 8.729839073851053e-11, 2.0801360633981858e-11, -6.040501432380552e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [9.928546873538835e-11, 7.187317407897353e-11, 3.6819658433273617e-11, -8.548062258029177e-11, -8.999123668473885e-11, -1.913236236106286e-11, -1.1729950344374629e-11, -1.284558015512971e-10, -7.609957108911658e-11, 5.2086779334103994e-11, 3.6303182682217994e-11, 1.9949664142870915e-10, 1.4899170786009108e-10, 7.708922389326744e-11, -1.6883749953677807e-10, -1.790474435381384e-10, -4.1470271661125935e-11, -2.7949309533426003e-11, -2.48017828496927e-10, -1.466123888960169e-10, 1.0873701938862723e-10, 6.836842203483684e-11] QuasiNewtonMethods.optimum(state) .- 1 = [9.65005853004186e-12, 7.349298947190164e-11, -2.1896706670077037e-11, -1.2984613384503518e-11, -7.416600666942941e-11, -2.160505108150801e-11, 1.7005730157393373e-10, 4.511102602577921e-11, 7.10593806019233e-11, -1.0647038806155251e-11, -1.191645671028141e-10, 1.6679546632758502e-11, 1.4850543017530526e-10, -4.337352699224084e-11, -3.008793214576144e-11, -1.558538853529967e-10, -3.97175625721502e-11, 3.471705145585702e-10, 8.840195242498794e-11, 1.4185430607938088e-10, -1.4950485294207283e-11, -2.4373847384850933e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0820522255983178e-10, -6.961986542819432e-12, 7.774048071951256e-11, 1.5052625812472797e-11, 1.6227263976986706e-10, -3.914379931302392e-10, -8.449674293586895e-11, 4.254863128494435e-11, 6.264211371842521e-11, 2.5902613387529527e-11, 1.1084688722462488e-11, -2.1959389862047374e-10, -1.9579671217684336e-11, 1.6029688687524413e-10, 2.616484806594599e-11, 3.381410706992938e-10, -7.980708316424057e-10, -1.6884660336558e-10, 9.040745929667082e-11, 1.2633205592749164e-10, 5.194800145602585e-11, 1.8830714765272205e-11, -4.247713292215849e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.531885729377791e-12, -4.3345105282810437e-11, 1.0351941526209885e-11, 6.756750714487225e-11, -7.67123031764072e-11, -6.871825330989623e-11, -3.283995297920228e-11, -3.523314973108427e-11, 2.0057733252087928e-11, -1.3076650873244944e-11, -4.488687199710739e-11, -3.490319144816567e-12, -8.929856853967522e-11, 2.1482149392682004e-11, 1.354596435021449e-10, -1.5147672005610957e-10, -1.4053747054987298e-10, -6.843625666164144e-11, -7.08123559789442e-11, 3.756772670726605e-11, -2.600075710290639e-11, -8.474698720561946e-11, -2.686961764197804e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [8.358491676574431e-11, 2.573961044305406e-10, 5.4580784336621946e-12, -7.427458648123775e-11, 1.0869527500290133e-10, -3.7138736530550887e-11, -4.249844920423129e-11, -1.3408896215594268e-10, 1.280002770442934e-10, 1.133371174688591e-10, -1.65795932538515e-10, -2.0930590594048226e-11, 1.7418244624423096e-10, 5.089426657889362e-10, 1.9289236874442395e-11, -1.4479528687161292e-10, 2.0962076519026596e-10, -7.138323265820645e-11, -9.294043312735312e-11, -2.924058772890703e-10, 2.5615465304440477e-10, 2.2252844011916295e-10, -3.3851255132333335e-10, -4.198774661290372e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.2344569810807116e-11, -1.857414222428133e-11, -5.587152962505115e-11, -2.943012500367104e-11, 2.41273667711539e-12, -1.0326961508155819e-11, 3.0952129748129664e-11, -2.448474756278074e-11, 2.2606361227417437e-12, -1.855338105372084e-11, 1.7298384946684564e-11, 1.7281509556710262e-11, 2.7580826511552914e-11, -4.0735081974219156e-11, -1.1200751437456802e-10, -5.6212368093611076e-11, 2.6210145165350696e-12, -2.4739987836142063e-11, 6.388778395205463e-11, -4.852107604591538e-11, 3.9261927042844036e-12, -3.870603837441422e-11, 3.198330489340151e-11, 3.528177749956285e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m03.7s Method ambiguity | 1 1 10.1s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 7.4s Compat bounds | 3 1 4 11.3s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.6s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 10.7s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 44.4s RNG of the outermost testset: Random.Xoshiro(0x683946cc9a68687a, 0xe0fc4b47c4f3fb45, 0xd444bd8bdcf5036d, 0xf1fb2c5c2887a2ff, 0xce6412e455c2e063) ERROR: LoadError: Some tests did not pass: 148 passed, 1 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/QuasiNewtonMethods/Pnhdf/test/runtests.jl:35 Testing failed after 270.76s ERROR: LoadError: Package QuasiNewtonMethods 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:2421 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2276 [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:498 [5] 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:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:309 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:324 [12] _start() @ Base ./client.jl:557 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 503.07s: package has test failures