Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2116 (f310e68148*) started at 2026-05-06T22:09:15.532 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.72s ################################################################################ # Installation # Installing QuasiNewtonMethods... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [64452400] + QuasiNewtonMethods v0.1.4 Updating `~/.julia/environments/v1.14/Manifest.toml` [79e6a3ab] + Adapt v4.5.2 [4fba245c] + ArrayInterface v7.24.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 ⌃ [2a0fbf3d] + CPUSummary v0.2.6 [fb6a15b2] + CloseOpenIntervals v0.1.13 [34da2185] + Compat v4.18.1 [adafc99b] + CpuId v0.3.1 [ffbed154] + DocStringExtensions v0.9.5 [3e5b6fbb] + HostCPUFeatures v0.1.18 [615f187c] + IfElse v0.1.1 [10f19ff3] + LayoutPointers v0.1.17 [bdcacae8] + LoopVectorization v0.12.173 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.17.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [64452400] + QuasiNewtonMethods v0.1.4 [ae029012] + Requires v1.3.1 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.43 [431bcebd] + SciMLPublic v1.0.1 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.10.0 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [8290d209] + ThreadingUtilities v0.5.5 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.72 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [4536629a] + OpenBLAS_jll v0.3.33+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 5.34s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 6.8 s ✓ StaticArrayInterface 1.6 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.5 s ✓ CloseOpenIntervals 1.9 s ✓ LayoutPointers 17.6 s ✓ VectorizationBase 2.7 s ✓ StrideArraysCore 4.2 s ✓ SLEEFPirates 4.7 s ✓ VectorizedRNG 40.3 s ✓ LoopVectorization 4.9 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 44.7 s ✓ VectorizedStatistics 14.4 s ✓ QuasiNewtonMethods 16.1 s ✓ Octavian 17.6 s ✓ StrideArrays 14 dependencies successfully precompiled in 179 seconds. 57 already precompiled. Precompilation completed after 205.54s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_2Y2PzW/Project.toml` [4c88cf16] Aqua v0.8.14 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_2Y2PzW/Manifest.toml` [79e6a3ab] Adapt v4.5.2 [4c88cf16] Aqua v0.8.14 [4fba245c] ArrayInterface v7.24.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 ⌃ [2a0fbf3d] CPUSummary v0.2.6 [fb6a15b2] CloseOpenIntervals v0.1.13 [34da2185] Compat v4.18.1 [adafc99b] CpuId v0.3.1 [ffbed154] DocStringExtensions v0.9.5 [3e5b6fbb] HostCPUFeatures v0.1.18 [615f187c] IfElse v0.1.1 [10f19ff3] LayoutPointers v0.1.17 [bdcacae8] LoopVectorization v0.12.173 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.29 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [64452400] QuasiNewtonMethods v0.1.4 [ae029012] Requires v1.3.1 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [431bcebd] SciMLPublic v1.0.1 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.10.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [d1fa6d79] StrideArrays v0.1.29 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [8290d209] ThreadingUtilities v0.5.5 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.72 [33b4df10] VectorizedRNG v0.2.25 [3b853605] VectorizedStatistics v0.5.11 [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 v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [f489334b] StyledStrings v1.13.0 [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 v1.5.1+0 [deac9b47] LibCURL_jll v8.19.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2026.3.19 [4536629a] OpenBLAS_jll v0.3.33+0 [458c3c95] OpenSSL_jll v3.5.6+0 [efcefdf7] PCRE2_jll v10.47.0+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... 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. 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/MCcFg/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/v1.14/Test/src/Test.jl:784 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:60 [3] test_deps_compat @ ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:45 [inlined] [5] get_testset() @ Test /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:45 n = 2 QuasiNewtonMethods.optimum(state) .- 1 = [-2.0963231150972206e-12, -3.24329452183747e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0277068085429164e-10, -2.16678675002413e-10] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [1.3805756537976777e-10, 2.738660409562499e-10, -9.813483359266684e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.3083201189090232e-10, 2.5890600774403083e-10, -8.547595964358834e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8757106978739557e-11, 5.889644327794485e-11, -4.855937874026495e-11, 1.232065560685669e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.3574474877486864e-11, 8.042011501174784e-12, 2.6380453377328195e-11, 1.6402879055021913e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-5.965783422823279e-12, -1.843114549870961e-11, -8.857137245854574e-12, -3.6576408568578245e-11, 1.9853851895845764e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.605715560515364e-12, 3.446132268436486e-12, -3.756439603819217e-12, 7.293943227182353e-12, 9.374190312883002e-11] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-2.1805557359755312e-11, -4.4301784463129934e-11, 3.3721914149964505e-12, -4.0559000602513606e-11, -8.423695074810666e-11, 7.915890165577366e-12] QuasiNewtonMethods.optimum(state) .- 1 = [5.966604987861501e-11, -1.385058734371114e-11, 3.460964848045478e-11, 1.0749201528881258e-10, -3.851752250483287e-11, 6.543654507140673e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-1.045541431210495e-11, -4.00945943113129e-12, 1.490496615019765e-11, -2.143518695874036e-11, -7.706058013923212e-12, 2.8418822850539982e-11, -1.073918731719914e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.5269786263493188e-11, 2.1082069423528083e-10, 8.16005041315293e-11, -6.595446411239436e-11, 4.1243874981944373e-10, 1.7408097185978022e-10, -8.39972535970901e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-3.4464653353438734e-12, 7.163203363802495e-11, 1.2332423970917716e-10, -6.293487953001886e-11, -1.672884053505186e-11, 1.554336659381761e-10, 2.4450641511464255e-10, -1.2910217339623387e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.6837965183545975e-10, 1.9117685212677316e-10, 6.262568241766076e-11, -3.063549414150657e-12, -5.432539973426742e-10, 3.946618587491457e-10, 1.248148251420389e-10, 1.2938983218191424e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-3.899025546871826e-11, 1.663447157795872e-11, -2.3973378837638393e-11, 6.403078067762635e-11, -7.743716778918497e-11, 3.026956463259012e-11, -5.6143867332991704e-11, 1.266298177426961e-10, 1.0956235918513357e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.013145288832675e-12, -1.0185297050213649e-11, 6.210587599753126e-12, 6.2725380445272094e-12, -5.681455306216776e-12, -2.033673229817623e-11, 1.2345013900016966e-11, 1.2667644710973036e-11, -1.163513729807164e-13] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5043799539427027e-10, 2.2529400567350422e-10, -1.298386953507702e-10, 2.6080537729455955e-10, 2.6576518763476997e-12, -3.019610117505067e-10, 4.6091463978825686e-10, -2.6113722295662e-10, 5.177769324404835e-10, -1.503464019947387e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.3851142455223453e-11, 3.2014391138091014e-12, -2.265232446063692e-11, 2.943867372096065e-12, 3.4012792582416296e-12, 2.609601423841923e-11, 7.322142892007832e-12, -4.4602765925105814e-11, 3.7483349757394535e-12, 7.765788012648045e-12] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-5.830391724970241e-11, -9.910261500323259e-11, -1.6685453019249508e-10, 6.228573212752053e-12, 2.2542634425803953e-11, -1.0515044390757566e-10, -2.0026946767615073e-10, -3.3773273067083665e-10, 5.254463530945941e-12, 3.76108033606215e-11, -1.8073098573267998e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0523604210277426e-10, -2.7701396732027206e-11, 1.6598122876132493e-10, -1.0392187110852547e-10, 1.0257061866525419e-10, -2.1311774567323027e-10, -5.3899329444107025e-11, 3.521065661260536e-10, -2.0734369776675976e-10, 1.9173507226355468e-10, -4.679590048795035e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [3.640265866522441e-11, -7.217249020641248e-11, 1.815347872025086e-11, 2.334132886971929e-11, -9.094169861612045e-12, 5.933409319425209e-11, 7.19659887238322e-11, -1.378933633944257e-10, 3.6655345425629093e-11, 4.9611426078399745e-11, -1.557920459305251e-11, 1.1345302475262997e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.4680923143828295e-11, 4.121192276329566e-11, -5.317413176442187e-11, 1.468825061579082e-11, 5.067302133454632e-11, -5.606026753923743e-11, -2.6699087385395615e-11, 8.39990299539295e-11, -1.0801526340031842e-10, 3.2207347899770866e-11, 9.939848943929519e-11, -1.2167955532049746e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-5.213762754863183e-10, -4.259252950333803e-10, 1.3650658381436642e-10, 1.1987077996877815e-10, 7.83724196651292e-11, 2.400724063988946e-11, -1.0328206068166423e-9, -8.422644803829371e-10, 2.973432611241833e-10, 2.485831540610661e-10, 1.578279729130827e-10, 5.7339022419000685e-11, 1.761635282093721e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.012934511938738e-11, 4.3367975877117715e-11, -3.8391512191537913e-13, -8.494305259176826e-11, -4.825417843079549e-11, -4.444156154193024e-11, -1.0027167984816288e-10, 9.481460061522284e-11, 1.255440196246127e-12, -1.6363121968510086e-10, -9.338063655661699e-11, -8.447820221135771e-11, -1.4516166046973922e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-2.819933175857159e-11, -3.2146507678021408e-12, -4.770517314511835e-12, 4.571742984182947e-11, 6.073808123119306e-12, -9.017786517517834e-12, 4.224176564093796e-12, -5.563693949994786e-11, -4.728106794971154e-12, -9.131695399844375e-12, 9.35829191917037e-11, 1.2742917832042622e-11, -1.816358174977495e-11, 7.0885519676266995e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.8806245449809467e-10, -1.0959289031831076e-10, 1.0080447587768049e-10, 1.0407008588231292e-11, -6.059330814878194e-11, -1.4144208027033756e-10, -3.42053052548863e-11, 3.9154679498665246e-10, -2.107221064306941e-10, 1.9207435641988013e-10, 1.2657874748356335e-11, -1.2183221098638342e-10, -2.8795477113874313e-10, -8.152511998815726e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [1.3733680859218111e-11, -7.349620911867305e-11, -7.044254068944156e-12, -7.954736869209e-11, -6.141398500858486e-11, 3.2023272922288015e-11, -3.441635865186754e-11, 2.415245781151043e-11, -1.4574896844976593e-10, -7.071898622257322e-12, -1.694827611586902e-10, -1.2393064352522742e-10, 6.391931428595399e-11, -7.398104351352686e-11, 5.702327499079729e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-4.937827924322846e-12, -1.2829604045805354e-10, -9.221734487141475e-12, 7.40825178979776e-11, 2.1066237643196928e-10, 1.1946288402953087e-10, 3.802380632578206e-11, -9.088840791093844e-12, -2.4627788697273445e-10, -1.7173595878716696e-11, 1.4715362262052167e-10, 4.048417157065387e-10, 2.3734791909646447e-10, 8.895040259915277e-11, 2.0101698083863084e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [2.5758506438933182e-11, -5.752731624397711e-12, -1.6182277740028894e-11, 1.5731194125123693e-11, -1.5720647006389754e-11, -1.6002199565434694e-11, 8.646416915780719e-13, 1.6815215886367696e-11, 5.293121496663389e-11, -1.3393508524472963e-11, -3.660094449742246e-11, 3.262590198005455e-11, -2.8912761074195714e-11, -3.166655826447595e-11, 7.115419364822628e-12, 3.417488514401157e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.87221382630787e-11, 5.93891602562735e-11, 1.2943091043382537e-10, -4.720246415956808e-11, -9.164213832235646e-11, -4.136135878241021e-11, -7.495348786079603e-11, -1.1609524452893538e-10, 1.0516387760617363e-10, 1.179862874067794e-10, 2.446631786057196e-10, -9.802081368803783e-11, -1.6694623461432911e-10, -8.024958475516542e-11, -1.423068329842181e-10, -2.3442525698413874e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [1.8532064771648038e-11, 8.956613228860988e-12, -1.8345769348115937e-11, -3.002176285349378e-11, -3.9829028963822566e-11, 1.2101653013019131e-11, 1.3851808589038228e-11, 3.341771304121721e-12, 3.822897554073279e-11, 1.6368018052048683e-11, -3.71241926089283e-11, -5.881206632807334e-11, -7.69113661647225e-11, 2.0802692901611408e-11, 2.991917824601842e-11, 6.6275873678023345e-12, 2.3460344777959108e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.0568659542827845e-12, 1.0445422304883323e-11, -4.7229997690578784e-12, -5.0569548548651255e-12, 1.2532197501968767e-11, -1.4185319585635625e-12, 8.682832230988424e-12, 1.078026556911027e-11, -8.408940210813398e-12, 2.042099822574528e-11, -1.0077605416825008e-11, -1.0954903650883807e-11, 2.4806157128409723e-11, -2.682298827494378e-12, 1.8024914893999266e-11, 2.1330492927518208e-11, 2.3494539647117563e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-2.1642354575135414e-11, -4.067046699418597e-11, 1.0729417354582438e-11, -2.0826451674338387e-11, -1.1441514402577013e-11, 3.480127297450508e-11, 4.000488829092319e-11, -2.7168378657904668e-11, -8.09142752800085e-11, -4.257694197207229e-11, -8.508582727273506e-11, 1.7149170972174943e-11, -4.212707960249418e-11, -2.0963342173274668e-11, 7.274025826120578e-11, 8.410649954271321e-11, -5.688172155515758e-11, -1.607278754534036e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.964118171026712e-11, 3.575140183897929e-12, -6.91664503449374e-11, 1.088849010955073e-10, 1.4277823368047393e-10, -6.561862164744525e-11, -5.852107687331909e-11, 9.275580303835795e-11, -7.892730913283685e-11, -1.513021929966385e-10, 1.08186792857623e-11, -1.33477895403189e-10, 2.1384161108528588e-10, 3.008855387065523e-10, -1.3973722179372317e-10, -1.1565337576513457e-10, 1.937221494330288e-10, -1.6383583378853928e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-4.06946698561228e-11, 4.690026145226511e-12, 1.085309619952568e-11, -5.469957820025684e-11, -2.311006941368987e-11, -5.960454352305078e-12, 4.828093480568896e-11, 2.2577495428777183e-11, 6.149347697714802e-11, -7.957312586626131e-11, 1.2024159445900295e-11, 2.156630429794859e-11, -1.062870902401869e-10, -4.638567308035135e-11, -9.735101613728148e-12, 9.960476887727054e-11, 5.020073245987078e-11, 1.2031575735704791e-10, -4.480860127387132e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-4.0611958240788226e-13, -1.1141643163625758e-11, 1.09907638545792e-11, 9.328093852900565e-13, -4.019451438352917e-12, -3.116240598899367e-11, -2.727962300497211e-11, -2.0600521288827167e-11, 5.398126390332436e-12, -7.404077351225169e-13, -2.1951884754400908e-11, 2.067479520917459e-11, 1.3300471835009375e-12, -1.0659917393240903e-11, -6.225275850368917e-11, -5.580169659680223e-11, -4.059874658679519e-11, 8.917311333789257e-12, 1.546540673302843e-11] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [2.6754154447417022e-11, 6.450640022137577e-11, 1.2419842931876701e-11, -2.7536306568265445e-11, 5.061395746963626e-11, 2.6229018956769323e-11, 2.911071383948638e-11, 1.0254463944647796e-11, -1.61313185031986e-11, 3.413447302591521e-11, 4.966027589148325e-11, 1.2390843906473492e-10, 2.4230395467839116e-11, -5.3225424068159555e-11, 1.0090794866357555e-10, 4.760525307290209e-11, 6.146905207060627e-11, 1.9910961768232482e-11, -4.1502912218049914e-11, 6.795985996177478e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.695743628322589e-11, 4.1133985106966975e-11, -2.2132040644606832e-10, 1.2516676584084507e-10, -1.0475242895324754e-10, -1.346134315127756e-11, 1.422926221295029e-10, -1.1206080507975003e-10, 1.5362289218501246e-10, -1.0506395753395736e-10, -4.935618580503842e-11, 7.963141257505413e-11, -4.572122680457369e-10, 2.5923085900103615e-10, -2.124740383635526e-10, -2.629640949436407e-11, 2.955480304933644e-10, -2.2840174196403495e-10, 2.994882120077591e-10, -2.0116808219228233e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5930068375524797e-10, -5.23201482138802e-11, 5.367484234852782e-12, -1.8124945988517993e-11, -6.387790296713547e-11, -5.3485327278224304e-11, 2.657185582677357e-11, 1.7113288564019058e-10, -3.3112401709445294e-11, 8.639111648278686e-11, -3.1793789823097995e-10, -9.574363524222917e-11, 1.099831337114665e-11, -3.920175295490935e-11, -1.335110910716253e-10, -1.0613965262251668e-10, 6.070677294189863e-11, 3.429936334953254e-10, -6.866218704715266e-11, 1.7154411224851174e-10, 1.2906342661267445e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.4155010497063358e-10, 1.7535084495534647e-11, 8.405254270371643e-11, 1.1252243581338917e-10, -9.186529315030612e-11, -2.3551161021373446e-11, -4.9545256786132086e-11, -5.429057203798493e-11, -1.27675647831893e-11, -1.128075410861129e-11, 3.0706237552635685e-10, 2.5175639351004975e-11, 1.7450330069834763e-10, 2.3928325987299104e-10, -1.836589769155239e-10, -4.592271007908266e-11, -1.0872924782745486e-10, -1.0782685855303953e-10, -1.7806534025055498e-11, -2.0874080242094806e-11, 2.116107289396041e-11] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-8.574296828101069e-11, -1.3014012090195592e-10, -2.9719005034678503e-10, -2.171244295468e-10, -1.2908485391704971e-10, -3.7942937680668365e-10, 1.9787216309907762e-10, -6.384882622612054e-10, 2.8006996721785526e-10, -8.062461809288379e-11, 3.9134251395012143e-10, -1.7974088883931927e-10, -2.664602982704878e-10, -6.007162545174083e-10, -4.501936601286616e-10, -2.564246592839936e-10, -7.589862072165943e-10, 3.9386183203760083e-10, -1.2907223068125973e-9, 5.695457439003349e-10, -1.4927459268676557e-10, 7.69383001752999e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.61113386257739e-11, -2.2781998509913137e-11, 1.5007595166594e-10, -2.174149749123444e-11, 3.527733660746435e-11, -1.9817425478407813e-10, 9.265632705535154e-11, -3.8155922865712455e-11, -5.613343123656023e-11, -5.720690587907029e-11, 9.208767082213853e-11, -1.2990108988475413e-10, -4.940858833180073e-11, 3.0385116644993104e-10, -5.1640247633599756e-11, 7.212763719621762e-11, -4.0654879462920235e-10, 1.8752088770668252e-10, -7.836553628237652e-11, -1.1522938159203022e-10, -1.1095979690622926e-10, 1.8038326388136738e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [1.1148415524075972e-11, -8.082312596968677e-12, 5.158762306223252e-12, 6.59579058037707e-11, -2.5322488550472144e-10, -3.6805447578558415e-11, -2.927434961108588e-10, -9.5286556422991e-11, 5.729083873973195e-11, 1.5866419289523037e-11, 9.910716691763355e-11, 1.0076162126892996e-11, -3.1051938798043466e-11, 6.387335105273451e-12, 1.4096590561507583e-10, -5.005016401327111e-10, -7.623979225712674e-11, -5.700705463240752e-10, -1.9579637910993597e-10, 1.2089507173129732e-10, 3.877898002713209e-11, 1.9341150903073867e-10, 1.41815448273519e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.102651386337584e-12, 3.198330489340151e-12, -2.152611422445716e-12, -8.998912726099206e-12, 1.832689555669731e-11, -8.839484699763034e-12, 8.177680754783978e-12, -4.260969355129873e-11, -2.2582380410085534e-11, -2.7186919382415908e-11, -8.81239525796218e-12, -4.98479035826449e-12, 7.134293156241256e-12, -2.851052727237402e-12, -1.8469115126151792e-11, 3.668776393794815e-11, -1.936095728183318e-11, 1.687272543904328e-11, -8.884593061253554e-11, -4.507705320122568e-11, -5.5922821928788835e-11, -1.7849721700713417e-11, -1.7934542739794779e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [3.284572613893033e-11, 7.309020055856763e-11, 2.580780034122654e-11, -1.0536971295493913e-10, -6.532430152361712e-11, 6.680878072984342e-11, 8.480771640506646e-12, 1.0802692074207698e-11, -7.029765658472797e-11, 4.579892021183696e-11, -2.0174639736580957e-11, 1.4021450667200952e-11, 6.456501999707598e-11, 1.4759060640301414e-10, 5.17603737648642e-11, -2.156067546721374e-10, -1.298490204248992e-10, 1.2913892177834896e-10, 1.6831203097922298e-11, 2.32323049687011e-11, -1.3796352948958202e-10, 9.751288665427182e-11, -4.0789704947030714e-11, 2.944866572818228e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.3520741737902426e-11, 2.744560134715357e-11, -1.5333734282307887e-11, -1.1184164705468902e-10, -8.508194149214887e-12, 2.922062591892427e-11, 4.752864768420295e-11, -1.28356880679803e-10, -6.935230167925965e-12, 5.0645487803535616e-11, -1.3006706822693559e-11, 1.1533662913620901e-11, -6.774170113743594e-11, 5.279710002525917e-11, -3.098843404103491e-11, -2.2468149563081852e-10, -1.6273205005745695e-11, 5.891864773843736e-11, 9.711542681145602e-11, -2.5794755220687193e-10, -1.4568790618341154e-11, 1.0161738117631103e-10, -2.7517321754544355e-11, 2.5512258972071322e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m38.4s Method ambiguity | 1 1 11.2s 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 7.3s Compat bounds | 3 1 4 11.7s 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 11.0s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 59.1s RNG of the outermost testset: Random.Xoshiro(0xcfdfa3c48d784166, 0x673da7b0464e018e, 0xc23180b215096ac3, 0x6597f7eca0d392fa, 0x97b7e5c82f5a60b5) 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 301.48s ERROR: LoadError: Package QuasiNewtonMethods errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/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/v1.14/Pkg/src/Operations.jl:3162 [3] Cmd(cmd::Cmd) @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3025 [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/v1.14/Pkg/src/API.jl:586 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [7] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [8] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:326 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:352 [12] _start() @ Base ./client.jl:593 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 546.45s: package has test failures