Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2637 (b1f508acef*) started at 2026-07-12T19:10:28.096 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.63s ################################################################################ # 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 v4.7.0 [4fba245c] + ArrayInterface v7.27.0 [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 v0.12.174 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.17.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [64452400] + QuasiNewtonMethods v0.1.4 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.46 [431bcebd] + SciMLPublic v1.2.2 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.10.0 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [8290d209] + ThreadingUtilities v0.5.6 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.74 [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 v1.14.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.5+2 [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 To see why use `status --outdated -m` Installation completed after 4.67s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.5 s ✓ StaticArrayInterface 1.3 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.2 s ✓ LayoutPointers 1.1 s ✓ CloseOpenIntervals 18.0 s ✓ VectorizationBase 2.6 s ✓ StrideArraysCore 3.3 s ✓ SLEEFPirates 3.8 s ✓ VectorizedRNG 43.2 s ✓ LoopVectorization 4.2 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 46.7 s ✓ VectorizedStatistics 14.6 s ✓ QuasiNewtonMethods 15.3 s ✓ Octavian 16.4 s ✓ StrideArrays 14 dependencies successfully precompiled in 176 seconds. 56 already precompiled. Precompilation completed after 202.33s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_bhHa7O/Project.toml` [4c88cf16] Aqua v0.8.16 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_bhHa7O/Manifest.toml` [79e6a3ab] Adapt v4.7.0 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.27.0 [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 v0.12.174 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.29 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [64452400] QuasiNewtonMethods v0.1.4 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.46 [431bcebd] SciMLPublic v1.2.2 ⌅ [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 v0.5.6 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.74 [33b4df10] VectorizedRNG v0.2.26 [3b853605] VectorizedStatistics v0.5.11 [0dad84c5] ArgTools v1.2.0 [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 v1.14.0 [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 v1.13.0 [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 v1.5.5+2 [deac9b47] LibCURL_jll v8.21.0+0 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [458c3c95] OpenSSL_jll v3.5.7+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/h1qD0/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/h1qD0/src/deps_compat.jl:60 [3] test_deps_compat(pkg::Base.PkgId, deps_type::String) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:45 [inlined] [5] macro expansion @ /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/h1qD0/src/deps_compat.jl:45 n = 2 QuasiNewtonMethods.optimum(state) .- 1 = [-2.1898038937706588e-12, -6.889377957008946e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.781230801218726e-11, -5.8553939474848e-11] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [1.7696955012524995e-12, 4.3083314693603825e-12, 1.020739048840369e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.7225976201018511e-10, 3.549671667713028e-10, 3.878464216455768e-10] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [3.254108094097319e-11, -7.529321610633133e-11, 5.480327303075683e-11, -1.44261935730583e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-4.6069814629845496e-11, -1.8858581363190297e-11, -9.683132073945444e-11, -3.6732283881235617e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-5.601785701969675e-11, -4.452138657740079e-11, -1.0725242916009847e-10, -8.453704403166284e-11, -1.2187117981454776e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.5007106668463166e-11, 1.443445363236151e-11, 2.959366085519832e-11, 2.174194158044429e-11, 1.1539658117953877e-10] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [1.0371703496048212e-12, 1.2647660696529783e-12, -1.2528866832894892e-12, 2.290834189011548e-12, 2.8741453661496053e-12, -2.256195230643243e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.73003841755326e-11, -5.605516051332415e-12, -9.77140590663339e-12, -4.848632606524461e-11, -9.50395318000119e-12, -2.1868284960646633e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-4.8829829069063635e-12, -8.004463758481961e-11, -2.4767410344850305e-11, -2.902122986370159e-12, -1.634213875334467e-10, -4.325839686458721e-11, 4.426015109970649e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.624478329631529e-12, 3.3364422336035204e-12, -5.657474488884873e-12, 3.786304603181634e-12, 6.530331830845171e-12, -1.068889421418362e-11, 1.3455903058456897e-13] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [6.255440609947982e-12, -4.2860825999468943e-11, 3.6362024502523127e-12, -1.9455548283531243e-12, 5.267342118031593e-12, -8.637446313741748e-11, 7.73248132190929e-12, -3.3302249846656196e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0016432128168162e-12, 2.3029134155194697e-11, 1.2146061934004138e-11, -1.290656470587237e-11, -2.6801894037475904e-12, 4.841727019311293e-11, 2.1524559912222685e-11, -2.617372985014299e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [5.218625531711041e-11, -3.000300008437762e-11, 4.901279382352186e-11, 6.465605828509524e-11, 1.0201928191122533e-10, -5.637268429836695e-11, 9.379297338796277e-11, 1.2096745827250288e-10, 1.1760148410644433e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.873346005571875e-11, 2.602451587563337e-11, -1.8867463147387298e-11, -4.292899369318093e-12, 5.508549172361654e-11, 5.925837598397266e-11, -3.965849870724014e-11, -8.507750060005037e-12, -2.1895818491657337e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-8.483547198068209e-12, 1.4970025219440686e-11, -3.296474204717015e-12, -1.5290435584347506e-11, -1.8353762953893238e-11, -1.943156746619934e-11, 3.143219018397758e-11, -1.1838641178485432e-11, -3.098810097412752e-11, -4.011657672720048e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.834481455631476e-10, -7.811762348097773e-11, 1.1196510385502734e-10, 2.8747004776619178e-11, -1.8118284650370242e-11, 3.828948269557486e-10, -1.5953971477244977e-10, 2.2993806858551125e-10, 6.569300659009514e-11, -2.9674596113693497e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-5.312716933048023e-11, -8.396705553082029e-11, -5.210154530033151e-11, 6.8898220462187965e-12, -1.471666122299098e-10, -1.260185289453375e-10, -1.8129509005149202e-10, -1.0690903717858191e-10, 2.931765941127651e-11, -2.7477431441269573e-10, 9.552270086032877e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.1730838522794329e-11, 5.39079891836991e-12, 7.142508806623482e-12, 2.6046942380730798e-11, -2.160471801460062e-11, 2.4745316906660264e-11, 1.3043344182506189e-11, 1.216382550239814e-11, 5.368949729245287e-11, -4.504696615725834e-11, -2.5557334026871104e-13] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0149536766590472e-10, -9.223144470382749e-11, 7.965694770462051e-11, 2.135092103117131e-11, 2.3784085811939804e-11, -8.299994025406932e-11, -2.0164092617847018e-10, -1.809355998361184e-10, 1.6381673795251572e-10, 4.605316128447612e-11, 4.4498627005395974e-11, -1.7156875919965842e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.630074019156382e-11, 9.553735580425382e-11, 7.30242533109049e-11, 1.436561980483475e-11, -1.0181744336534848e-11, 7.108114097320595e-11, 7.438716309593474e-11, 1.9048851385150556e-10, 1.376170288835965e-10, 2.6918911544271396e-11, -2.593492087754612e-11, 1.3932588416309954e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5909096262589628e-10, -8.258294048602011e-11, 2.662647879958513e-11, -2.2521984277545926e-11, 1.2322631803840522e-10, 4.583999846374809e-11, -3.1825209134694887e-10, -1.643292169006827e-10, 5.991362961310642e-11, -6.23071594318958e-11, 2.2449508918498395e-10, 8.01385624527029e-11, -1.7092094406478964e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.638689184346731e-11, -6.604827795797519e-12, -1.1307554892425742e-10, 1.1736922544969275e-10, -1.5398482489104026e-10, 6.21009910162229e-11, 3.7964742460872e-11, -1.4832246542084704e-11, -2.2956037071253377e-10, 2.2116686260176266e-10, -3.014614113894254e-10, 1.152158368711298e-10, 2.154720846192504e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-7.279199465415331e-11, 1.2942091842660375e-11, 3.6567371353157796e-10, -1.3805401266608897e-10, -3.5540570486602974e-11, -2.179922908851495e-11, -2.6928237417678247e-11, -1.3729528625106013e-10, 2.741296079022959e-11, 7.234679522127863e-10, -2.7668789481793965e-10, -6.81117384715435e-11, -3.6730951613606067e-11, -5.440436989800901e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.3737790339216644e-11, -9.700384939748119e-11, -1.576727637342401e-11, 2.669220400264294e-11, 5.4724225151403516e-11, 6.388778395205463e-11, 3.5364600137199886e-11, -4.871536507522478e-11, -1.896389711930624e-10, -3.663080949678488e-11, 5.3074433736810533e-11, 1.1230993912647591e-10, 1.2477086031026374e-10, 7.265144041923577e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-3.410915994095376e-11, -1.1884626616165406e-10, 4.795674968249841e-11, -5.4169890795208175e-11, -2.1332691169106965e-10, 4.440892098500626e-11, 1.0124856508753055e-10, -7.352185527054189e-11, -2.404616505913282e-10, 9.71409619410224e-11, -1.0307643627527341e-10, -4.359113070506737e-10, 8.088330005762145e-11, 1.9265367079412954e-10, 2.390088127413037e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.7319790046599337e-10, -4.9364734522328035e-11, -1.773770019752874e-11, 7.086686792945329e-11, 5.348832488039079e-12, 4.7243764456084136e-11, -1.597022514232549e-11, 3.4266744997069054e-10, -1.0329925803631568e-10, -3.66088270808973e-11, 1.4242695911548253e-10, 1.3738121751316612e-11, 9.66247082345717e-11, -3.192801578677518e-11, -7.441824934062424e-13] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-3.167609508025748e-10, 2.670677012872602e-10, 6.506128968908342e-12, 5.5200732873572633e-11, -6.078348935290023e-11, 4.86199525084885e-10, -8.352130098643329e-11, 3.2018920848031485e-10, -6.442233413395115e-10, 5.39843947322538e-10, 2.5185409313621676e-11, 1.2702128238117893e-10, -1.2534739912695159e-10, 9.6591223908149e-10, -1.8811197044499295e-10, 6.239657679429911e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-9.48093825670071e-11, 5.240607947598619e-11, -8.806844142839054e-11, -3.9284242525639e-11, -1.0573431019622603e-11, -2.3477086941170455e-10, 4.9301673854529326e-11, -1.6128776092472208e-10, -1.9662815819998514e-10, 9.385692223418118e-11, -1.8431134396479365e-10, -7.572942273270655e-11, -1.2818412997717132e-11, -4.746195658711372e-10, 9.172529402690088e-11, -3.2049984888260497e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-8.814482477248475e-11, -6.939071539591168e-11, 2.741207261180989e-11, 1.8480772467910356e-12, 2.1702417640767635e-11, -2.4761748207424716e-11, -2.5679236514974946e-11, -6.576927891188689e-11, -1.7434409471661638e-10, -1.3343059990233996e-10, 6.154454723628078e-11, 2.5923707624997405e-12, 5.144662473810513e-11, -5.727229801522071e-11, -5.491296306558979e-11, -1.2883860645018785e-10, 7.298428528201839e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.865085863528293e-11, -8.966738462845569e-11, 6.101852356721338e-11, -1.5542522824318894e-10, 1.0934120275862824e-10, 3.470002063465927e-11, -8.737954804161063e-11, 3.63431507111045e-11, 3.3412161926094086e-11, -1.7989043588073628e-10, 1.2378031932769318e-10, -3.170560480825202e-10, 2.2318036307922284e-10, 7.236233834362338e-11, -1.7216661429841906e-10, 6.979683497831957e-11, -5.880518294532067e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-2.1470603073225902e-11, 8.258971284647032e-11, -8.746869895048803e-11, 2.885469641000782e-12, -9.11826170124641e-13, -3.7611358472133816e-11, 2.7121416223963024e-11, 3.092903710921746e-11, 3.5416114485542494e-13, -4.055422664350772e-11, 1.663198467838356e-10, -1.7071244418076503e-10, 5.851319428984425e-12, 4.155786825776886e-12, -8.148615115999291e-11, 6.868661195369441e-11, 7.389777678667997e-11, -4.245825913073986e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.651845740890394e-11, -2.3828383710622347e-11, -1.9407375706492758e-10, 1.6053136597804496e-10, 2.7292612614360223e-11, -1.9109813731432723e-10, 9.83597647774559e-11, 1.8654633393566655e-10, 9.526957001071423e-11, -1.240391123147333e-10, -4.32631708235931e-11, -3.953034566350766e-10, 3.265421266718249e-10, 4.404832054660801e-11, -3.8582337325010485e-10, 1.8572587912046856e-10, 3.5679237342378656e-10, 1.94376070794533e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-3.231108713919184e-10, -2.218103478668354e-11, 2.5955637639185625e-10, 1.0224487922982917e-11, 1.1505330022032467e-10, 1.0983725040603076e-10, -3.0879299117714254e-11, 4.7874815223281075e-11, -1.4240941759169345e-11, -6.326950074964088e-10, -4.730937863683948e-11, 5.002329661607519e-10, 1.701261354014605e-11, 2.412370303517264e-10, 2.1359247703856e-10, -5.7191584801330464e-11, 9.097034237015578e-11, -4.1695868979729767e-11, -3.6128877667351844e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1413403555593504e-10, 2.6648905304682557e-11, -1.926356851811306e-10, -7.298472937122824e-11, 8.32893753965891e-11, 5.280642589866602e-11, 9.55833190374733e-11, -8.431255693608364e-12, 1.5063705838258556e-10, -2.1997947907692605e-10, 6.10071992923622e-11, -3.770843637340704e-10, -1.4912426848923133e-10, 1.6782664147285686e-10, 1.0610579082026561e-10, 1.985656084002585e-10, -1.813404981731992e-11, 3.037958773433047e-10, 6.421418952129443e-11] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-7.511014032957064e-11, 3.680211690948454e-11, 1.3629808393034182e-10, 2.7835511673401925e-12, -5.659250845724273e-11, -3.937183912228193e-12, 3.301425799406843e-11, 3.0911051496218533e-11, -8.929301742455209e-12, 1.1457945703341466e-11, -1.6643730837984094e-10, 7.205191998593818e-11, 2.6989965817847406e-10, 4.640288153723304e-12, -1.202610233619339e-10, -1.4540924020423063e-11, 6.754707904121915e-11, 6.538525276766904e-11, -2.2512103292626762e-11, 2.4434676504370145e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.1213363571016544e-10, 4.364797412392818e-11, 5.897393684506369e-11, -6.320333145737322e-11, -1.470744637188659e-10, -2.913669305826261e-10, -2.4473600923613503e-10, -2.74068656658244e-10, -1.3231160611582027e-10, 1.3347900562621362e-10, 2.1553137052876536e-10, 1.0116751880673291e-10, 1.0524070503947769e-10, -1.2462308962568613e-10, -2.888211891871606e-10, -5.658600255031843e-10, -4.995640567884152e-10, -5.590679030831325e-10, -2.7134450242272123e-10, 2.716971092553422e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [3.573541462742469e-11, -3.369315937362671e-11, -1.01177621836257e-10, 3.594369246684437e-11, -7.699196835631028e-11, -5.4410032035434597e-11, 3.6315617180093795e-11, -2.5158430894123285e-11, 1.547524330902661e-10, -1.227066226405782e-10, 7.116529587847253e-11, -6.211353653640117e-11, -2.049791447689131e-10, 7.970779591914834e-11, -1.4292456107511953e-10, -1.1269063460161988e-10, 6.919176342989886e-11, -5.0785708971545773e-11, 3.305578033518941e-10, -2.458316883391376e-10, 8.08686451136964e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1303125102557487e-10, 1.9168888698573028e-11, -6.259570639599588e-11, -8.723277655775519e-11, -9.324085947781668e-11, 3.0561109198856684e-11, -6.820188858114307e-11, -7.777045674117744e-11, -1.2381617953138857e-10, -9.612022289218203e-11, -2.2886081918471746e-10, 3.513345170347293e-11, -1.2635226198653982e-10, -1.7903489801796013e-10, -1.9132706530200494e-10, 5.829559057701772e-11, -1.3108802932038088e-10, -1.4123646696617698e-10, -2.441576940626078e-10, -1.9244283944175322e-10, 6.6837646528483674e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-7.879474850369661e-12, -3.4586300490246913e-10, 8.819966978990124e-11, -5.331224350868524e-11, 2.0899260100293304e-10, 3.6193381625082566e-10, 9.808687195800303e-11, -3.600286735405689e-11, -2.2444357483664135e-10, -2.2808654964734387e-10, -4.8738457714136985e-11, -1.759836720793828e-11, -6.984813838428749e-10, 1.6582890616234636e-10, -1.242165259540684e-10, 4.0938497036790977e-10, 7.321430128826023e-10, 2.0534129951954583e-10, -7.662070977687563e-11, -4.3368331148485595e-10, -4.541577114380857e-10, -7.565681414689607e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.952416089385679e-11, -2.6009194797893542e-12, 1.858513343222512e-13, 3.672617765460018e-12, -3.7670089270136486e-11, 5.146838510938778e-11, 6.364309079742725e-11, -9.900746889002221e-12, 3.928635194938579e-12, -5.7657212337858255e-12, -1.0317968701656355e-11, 5.855427254175538e-11, -4.892308780313215e-12, 4.579003842763996e-12, 7.52020667960096e-12, -7.507194865752354e-11, 1.017883555221033e-10, 1.2709211461015002e-10, -2.243871755069904e-11, 9.809042467168183e-12, -1.8755108577295232e-11, -2.1777024628022446e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-2.7689739390268642e-11, -1.8162960024881158e-10, -3.2090330392975375e-11, 2.645839103365688e-11, 8.956613228860988e-12, 2.664040099631393e-10, 2.1346169276625915e-10, -1.469435684242626e-11, -9.474154794020251e-11, 1.2900791546144319e-11, 1.909856717219327e-10, -5.508815625887564e-11, -3.6244773848892464e-10, -6.595579638002391e-11, 4.874145531630347e-11, 2.0388579713426225e-11, 5.349372056429047e-10, 4.219664617721719e-10, -3.198730169629016e-11, -1.8816448399405772e-10, 2.8475000135586015e-11, 3.821467586817562e-10, -1.8559265235751354e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.050759727647346e-12, 9.443268389475179e-11, -1.636408786254151e-10, 8.913447757663562e-11, 4.870170933202189e-11, -7.292966230920683e-11, 6.981970557262684e-11, 1.0345391210364596e-10, -1.499347312972077e-10, -8.095968340171567e-11, 2.204902926905561e-12, 1.6433299165896642e-11, 1.8817325475595226e-10, -3.2681035655457435e-10, 1.9088219893603764e-10, 9.322120853028082e-11, -1.637744384552775e-10, 1.3704060108921112e-10, 1.9572143905577377e-10, -2.9486224573105346e-10, -1.5217715976234558e-10, 4.5285997174460135e-12, 1.4055867580964332e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [7.284395309170577e-12, -6.133205054936752e-12, 6.341371872053969e-12, 1.3985257396598172e-11, -3.182254459943579e-11, 3.29625216011209e-11, -1.801536697598749e-11, -1.573641217333943e-11, 2.798317133567707e-11, -2.3950619265633577e-11, -2.063682558173241e-12, 3.189581931906105e-11, 1.4768852807378607e-11, -8.121392447435483e-12, 1.3704815060577857e-11, 3.155253835984695e-11, -6.443690026003424e-11, 6.638223304378243e-11, -3.812583582174511e-11, -3.0745295198642e-11, 5.682831982767311e-11, -4.508637907463253e-11, -1.6335821584334553e-12, 6.024047927155607e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.697191524627442e-10, -8.399314577189898e-11, 3.718647612060977e-11, -1.5415335674617836e-11, -1.9526213979048634e-10, -7.758238496080594e-13, -9.720446669803096e-11, 5.2612358913961543e-11, 3.205957721519326e-10, -4.2698511393268745e-11, -1.1356027229680876e-11, 1.4218848320979305e-10, 9.376599496846438e-10, -1.7150003639443412e-10, 6.548916964277396e-11, -3.4710012641880894e-11, -3.722544494877411e-10, -1.2630008150438243e-11, -1.8811174840038802e-10, 1.0817213791369795e-10, 6.189690981983631e-10, -7.76734232488252e-11, -2.4802271347823535e-11, 2.8114510719490227e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 5m06.0s Method ambiguity | 1 1 9.2s 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 6.6s Compat bounds | 3 1 4 23.5s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.5s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 22.7s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m13.6s RNG of the outermost testset: Random.Xoshiro(0xe3a730597b5f03a3, 0x180e3cb44151d47f, 0x7044a2d9ddcbff08, 0xd1a35a667a217fc7, 0x18a08d84eb3afab9) 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 326.81s 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:3247 [3] 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:587 [4] 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 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [8] include(mod::Module, _path::String) @ Base Base.jl:325 [9] exec_options(opts::Base.JLOptions) @ Base client.jl:355 [10] _start() @ Base client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 589.46s: package has test failures