Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2435 (e1b2c72e96*) started at 2026-06-25T18:36:33.835 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.24s ################################################################################ # 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 v7.25.0 [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 v1.2.0 ⌅ [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+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 To see why use `status --outdated -m` Installation completed after 4.67s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.2 s ✓ StaticArrayInterface 1.2 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.4 s ✓ LayoutPointers 1.2 s ✓ CloseOpenIntervals 17.7 s ✓ VectorizationBase 2.2 s ✓ StrideArraysCore 3.5 s ✓ SLEEFPirates 4.2 s ✓ VectorizedRNG 40.5 s ✓ LoopVectorization 4.3 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 43.8 s ✓ VectorizedStatistics 14.1 s ✓ QuasiNewtonMethods 15.2 s ✓ Octavian 16.3 s ✓ StrideArrays 14 dependencies successfully precompiled in 169 seconds. 56 already precompiled. Precompilation completed after 196.07s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_rwIVtH/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_rwIVtH/Manifest.toml` [79e6a3ab] Adapt v4.7.0 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.25.0 [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 v1.2.0 ⌅ [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+0 [deac9b47] LibCURL_jll v8.20.0+1 [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 = [1.0436096431476471e-14, 2.1316282072803006e-14] QuasiNewtonMethods.optimum(state) .- 1 = [1.0236256287043943e-13, 1.7541523789077473e-13] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [3.2862601528904634e-13, 6.352696146905146e-13, 6.0957905390068845e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.8250735084611733e-12, 6.3580252174233465e-12, -1.0875744749228033e-12] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [3.49433815216571e-11, 2.563971257529829e-11, 6.812372888020946e-11, 4.717204404869335e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.4847235380320853e-11, 3.478395349532093e-11, -5.1092907682459554e-11, 6.823452913806705e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [2.6119106877331433e-12, -3.3349989436715077e-12, 6.194378343593598e-12, -7.706502103133062e-12, -7.876921337413023e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.0832534869109622e-10, 1.556919038137039e-10, 2.2256685383581498e-10, 3.172622164981931e-10, -2.8177460364986473e-11] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [3.029576589597127e-12, 7.998202100623075e-11, -3.920774815924233e-11, 3.1110669596046137e-12, 1.5103496231461122e-10, -7.853984129724267e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.589173237448449e-11, 2.2807089550269666e-11, 9.049871962929501e-12, 2.8852253919353643e-11, 4.3290704354603804e-11, 1.7595924717284106e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-1.4674705894890394e-11, -1.2224443679542674e-11, 4.708455847435289e-12, -2.8855806633032444e-11, -2.2913004826818906e-11, 9.124700994789237e-12, 3.86335408109062e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-9.01934082975231e-12, 5.5931703712985836e-11, 2.3698598639043666e-11, -1.9951595930933763e-11, 1.1013456813202538e-10, 4.792677366083353e-11, -1.4033219031261979e-13] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [3.588640495877371e-11, 1.5229728589361002e-10, 9.03983554678689e-11, 2.6696422850136514e-11, 7.943379287667085e-11, 2.93917334914795e-10, 1.9306556353626547e-10, 4.3976156050007376e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.7555735471196385e-13, -1.413347217038563e-11, 2.3221424783059774e-12, -4.3718362263689414e-12, 9.263700917472306e-13, -2.75625078316466e-11, 4.6425085997725546e-12, -8.856915201249649e-12] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [1.1284306822290091e-11, 6.334044400091443e-12, 8.326672684688674e-13, -5.8753002463163284e-12, 2.2503332530732223e-11, 1.2934764370697849e-11, 5.837552663479073e-13, -1.2156609052738077e-11, -1.1327605520250472e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.1248337251099656e-12, 1.7509327321363344e-10, 1.1361622753724987e-10, 1.5735501790459239e-10, -9.369061082509234e-12, 3.5888314542376065e-10, 2.190878589658496e-10, 3.129592140993509e-10, -2.348254923845161e-11] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-3.4832992046318623e-10, -1.9580947974162655e-10, 5.04299046966139e-10, 2.7291058302125748e-11, -5.547670101080371e-10, -6.832520105248818e-10, -4.000888509381184e-10, 1.0102374492504396e-9, 5.747025078051138e-11, -1.0880135681290426e-9] QuasiNewtonMethods.optimum(state) .- 1 = [8.59559090571338e-11, 1.649280712001655e-11, 2.118150099761351e-11, 1.5340839709665488e-11, 3.8300251858913725e-11, 1.6872703234582787e-10, 3.9852787736549544e-11, 4.2968517632857584e-11, 3.1938895972416503e-11, 8.149703134563424e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-4.568900813239907e-12, 1.1888534601212086e-10, -2.780712327066226e-10, -3.150635308202254e-11, -4.069840020548554e-10, 2.646771690706373e-12, 2.2706014846107792e-10, -5.34800204121666e-10, -6.048128664559727e-11, -7.980309746358216e-10, 2.3630430945331682e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.2603918736763262e-11, 1.3857803793371204e-11, -2.5013324744804777e-13, 1.8905765841736866e-11, -2.72121214450749e-11, -4.520972485266839e-11, 2.85387269371995e-11, -6.727729484623524e-12, 4.0431880066194026e-11, -5.970979266578524e-11, -5.059286323216838e-13] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-3.1612823470084095e-11, 6.066236402091363e-11, -9.583767113241493e-11, -1.4062484510191098e-10, -2.1030210906047841e-10, 7.029599125019104e-11, -5.838785011036407e-11, 1.2608469823760515e-10, -1.9071966228523252e-10, -2.793706377346439e-10, -4.1988212906574063e-10, 1.427487017480189e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2175782604373353e-10, -1.1225365081912742e-10, 7.650902134059834e-11, 1.2337819654817395e-10, 7.998712803214403e-12, 1.546531791518646e-10, -2.46131115488879e-10, -2.4019752853376986e-10, 1.442266306383999e-10, 2.363698126117697e-10, 4.759970195777896e-12, 3.1647684473057325e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [7.261613532705269e-11, -2.8752555891742304e-11, 4.829958655250266e-11, -5.147271497918382e-11, -1.7395085372129415e-11, -4.912348305907699e-11, 1.426936346859975e-10, -5.291000970686355e-11, 9.248868337863314e-11, -1.0525236238123625e-10, -3.195155251489723e-11, -9.604250728045827e-11, -2.6089130855666554e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.628797510899176e-11, -9.186107430281254e-11, 1.8082646491279775e-11, 2.6232571670448124e-11, 6.974754107602621e-11, 3.9005021434945775e-11, -1.4746792675879306e-10, -1.772280100453827e-10, 2.60584887001869e-11, 5.405276226611022e-11, 1.4526491121102936e-10, 8.004152896035066e-11, -3.5756952954102417e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [4.6266990239018924e-11, 1.3906165108323876e-10, 1.7608137170554983e-13, -5.400457858684149e-11, 9.969802761133906e-14, -8.272404983244996e-11, -2.1248613979452102e-10, 8.463696410387911e-11, 2.797082565564324e-10, -3.169686735304822e-13, -1.0204037614869321e-10, 7.535749801945713e-12, -1.7235035620899453e-10, -4.3485681722188474e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.041311646967415e-10, -5.810218972612802e-11, -4.112721274651676e-11, 8.855294275633696e-11, 1.0593548260828811e-10, 9.239498055535478e-12, -2.5004998072120088e-11, -6.328769730501449e-10, -1.1432921276366415e-10, -9.850253945842269e-11, 1.7536683216690108e-10, 2.3717561248304264e-10, 2.744249272268462e-11, -4.4250159092484864e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [6.495759485858343e-11, -1.992557230323655e-10, 7.487299669151071e-11, 1.2040501928822778e-10, -3.257383252019963e-11, -1.6945655989530906e-10, 4.948907950108605e-11, 1.276996286492249e-10, -3.8126246604264225e-10, 1.5396461883199208e-10, 2.3045343411354224e-10, -7.269396196107891e-11, -3.404853066157898e-10, 9.722800342615301e-11, -3.556899219603338e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.6713708195226218e-10, -1.7706947019746622e-12, 1.3505463414276164e-10, 1.0875966793832959e-11, -7.796507883739423e-11, -2.5448476659306607e-10, 1.2183143383026618e-11, -3.1131086597468993e-10, -8.33533242428075e-12, 2.718019143088668e-10, 3.449485141970854e-11, -1.6339885000604681e-10, -4.89137397252648e-10, 3.10189651742121e-11, -6.58071375170266e-11] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-1.9440227205791416e-11, -1.9651058558167733e-11, -3.0820235252804196e-11, -1.3714140933984709e-11, -5.7843063672180506e-11, -2.7949420555728466e-11, -9.237466347400414e-11, 2.5257351765617386e-11, -4.0859537975279636e-11, -3.8766767573861216e-11, -5.596723084977384e-11, -2.5985991136678877e-11, -1.1325307358589498e-10, -5.803435509932342e-11, -1.8762391640336773e-10, 5.195688324022285e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.104250272973786e-11, -1.3514001029335532e-10, 4.1024517116738934e-11, -2.4780288931935956e-11, 3.63333807484878e-11, 5.125766477931393e-11, 1.242506098009244e-10, 1.7236678750975898e-10, -8.264910977828777e-11, -2.6482105397462874e-10, 8.204525947519414e-11, -5.938372016345284e-11, 8.208811408394467e-11, 1.0596235000548404e-10, 2.4938362486182086e-10, 3.548081828341765e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-1.4911405443740477e-11, -6.16848794265934e-11, -3.96971344684971e-11, -2.9816704660845517e-11, -1.5828782728988244e-11, 2.3309798535819937e-11, -1.7131740470688328e-11, 6.223110915470897e-11, -3.224598366102782e-11, -1.2169965035724317e-10, -7.438205607002146e-11, -6.392575357949681e-11, -2.8257951534271797e-11, 4.2049697057677804e-11, -3.427591543925246e-11, 1.276116989856746e-10, 2.1329382704493582e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.3652390329355057e-10, -3.343889609652706e-10, -2.0387136423494212e-10, 3.394480252438825e-10, 9.876988116275243e-11, -1.8640711196837856e-10, 9.502687525753117e-11, -6.209766034714903e-11, 2.8089908177264533e-10, -6.504961014286437e-10, -3.919542468366899e-10, 6.968783328176187e-10, 1.75429226700885e-10, -3.662546932403643e-10, 1.9098522763272285e-10, -1.319738762717293e-10, -1.83423276567396e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-2.7931323920427076e-11, 6.59694521232268e-11, 2.4416024757556443e-12, -7.587896977412356e-11, -8.687461861001111e-11, -2.2766122320660998e-11, -2.567324131064197e-11, -2.1070922784360846e-12, -7.101430554712351e-12, -6.554534692781999e-11, 1.2644507663139848e-10, 4.946043574705072e-12, -1.4675116677409505e-10, -1.7789814066304643e-10, -4.4007020250091955e-11, -5.302214223235069e-11, -2.751354699626063e-12, -1.8279044944335965e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.126432529005797e-11, -2.486788552857888e-12, 3.9495295922620244e-11, -1.4026890760021615e-11, 2.4947155452537118e-11, -1.1658118914681381e-11, 8.041567411964934e-12, 1.178992459216488e-10, -1.8852641670008552e-10, 6.952416420347163e-11, -1.147359984798868e-11, 9.384137911183643e-11, -1.9359958081111017e-11, 5.171463257624964e-11, -2.2175816738467802e-11, 1.5297541011705107e-11, 2.3026913709145447e-10, -3.746355448086547e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-9.462497452261687e-11, 3.994227171233433e-11, -2.7440050232030444e-11, -6.795064511067039e-11, 2.5164537120758723e-11, 7.475864371997432e-11, 2.5353052990340075e-11, 1.8739454432648017e-11, 6.322897760924207e-11, -1.8821888492226435e-10, 8.384248850745735e-11, -5.194977781286525e-11, -1.3666179299320902e-10, 5.2771786940297716e-11, 1.499356194756274e-10, 5.069478170582897e-11, 3.814082383257755e-11, 1.2733991638924635e-10, 3.5711433810092785e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.1118528320253063e-10, 1.777489266885368e-11, -2.998723491742794e-11, 5.925948620699728e-11, -4.362032957061501e-11, 7.833045323479837e-11, -5.87283555120166e-11, 4.030553668599168e-12, -2.6068924796618376e-11, 2.2292256929290488e-10, 3.7977621047957655e-11, -6.266609453575711e-11, 1.2255330084087745e-10, -8.196521239511867e-11, 1.5255685603676739e-10, -1.2026213358495852e-10, 1.0835110586526753e-11, -5.192779539697767e-11, 2.864375403532904e-13] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-3.719269336954767e-11, 2.652544850434424e-11, -4.9428239279336594e-11, -4.3977044228427076e-11, 2.1653656645526098e-10, -1.1656386966762966e-10, -1.1631839935688504e-10, -3.6126657221302594e-11, -4.4123593667677596e-11, -2.1742718736561528e-11, -6.459333068420392e-11, 4.920508445138694e-11, -9.344869322802651e-11, -8.615363977781954e-11, 4.3083958622958107e-10, -2.2814150568706282e-10, -2.34246733121779e-10, -7.524936229685864e-11, -9.200817885357537e-11, -4.512601403661165e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.6188552154925446e-10, 7.94653232105702e-11, 4.1883807533338313e-10, -1.1150012024785383e-9, -5.815857795354873e-10, 2.544429111850377e-10, 5.040412531798211e-12, 3.628852773829294e-10, 6.076297243140516e-10, 2.229503248685205e-10, -7.303440074934997e-10, 1.4566414741068456e-10, 8.336626944327463e-10, -2.254799125189777e-9, -1.1600740368322704e-9, 5.105253997328418e-10, 2.226174800057379e-11, 7.143696745259831e-10, 1.2277301397745077e-9, 4.646780737971312e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [7.005063196174888e-12, 3.50985907004997e-12, 1.898281531964585e-11, -2.1601398447756992e-10, 1.4086687372127926e-10, 1.390620951724486e-11, 5.848499462501877e-11, 1.5533485608898445e-10, -1.7644319338927517e-10, 1.3819168032114248e-11, 1.3198553361348786e-11, 9.291900582297785e-12, 3.2896130264248313e-11, -4.203434267324724e-10, 2.856890279900881e-10, 3.45619088903959e-11, 1.2029910401167854e-10, 3.029612116733915e-10, -3.47307294035204e-10, 2.4461765946171e-11, -1.0056844246264518e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-8.710365761999128e-12, 3.871347686867921e-12, -1.0741296740945927e-11, -1.5160761535071288e-11, -1.4862000519144658e-11, -1.1688761070161036e-11, 3.3919533848347783e-12, 1.1290079982018142e-11, 6.8616223813933175e-12, 2.5192292696374352e-11, -1.847122454989858e-11, 7.850831096334332e-12, -2.043554214736787e-11, -3.1832647628959876e-11, -2.943323362813999e-11, -2.3702151352722467e-11, 6.614486736111758e-12, 2.3457680242700008e-11, 1.390354498198576e-11, 5.30155919165054e-11, 5.855316231873076e-13] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-8.96031027153299e-11, -1.0739109601587415e-10, -1.5364254313254833e-10, 3.715028285000699e-11, -2.3995583298130896e-11, -3.0193625377705757e-12, -3.2248648196286922e-12, 3.1701086200541795e-11, -5.33917354772484e-12, 8.384404281969182e-12, -8.372469384454462e-11, -1.824508322201268e-10, -2.1856316756441174e-10, -3.1597302552199835e-10, 7.873413032655208e-11, -5.3320348136765006e-11, 1.3167689161264207e-11, -7.090550369071025e-12, 5.6761706446195603e-11, -1.6979306849407294e-11, 1.688338358007968e-11, -1.784523639969393e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.561861916523412e-11, 3.810640691881417e-11, 6.6631145045903395e-12, 1.8950174762721872e-11, -4.5828008055082137e-11, 5.985500983740621e-11, 2.6241453454645125e-11, -5.4066640053918036e-11, -6.319389456166391e-13, -2.334477056109563e-11, 4.887024118715999e-11, 7.000000579182597e-11, 7.303158078286742e-11, 9.53348511245622e-12, 3.2899238888717264e-11, -9.176781556874403e-11, 1.1410983269399821e-10, 4.9441561955632096e-11, -1.0796274985125365e-10, 7.833733661755105e-13, -5.279088277632127e-11, 9.852141324984132e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [6.937894703185066e-11, 6.323364054594549e-11, 1.2262502124826824e-10, 1.0966272334655969e-10, 3.250515412389632e-10, 8.839462495302541e-11, -1.523929871183327e-10, 1.4163936690181345e-10, -3.004640980464046e-11, 6.575695543631355e-11, 6.741918134878233e-11, 1.2105050295474484e-10, 1.2481016220533547e-10, 2.4240565110744683e-10, 2.2572832492073758e-10, 6.738571922682013e-10, 1.8474910490340335e-10, -2.903829399159008e-10, 2.8464786083759464e-10, -5.861733320955409e-11, 1.3621304084665553e-10, 1.3715051316864901e-10, 3.96926935763986e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.844657925355932e-11, 6.014300168999398e-11, -4.118927421359331e-14, 1.1600942428913186e-11, -1.2813250460652625e-10, -2.5081603460819224e-11, -5.5211835103818885e-11, 1.0217382495625316e-11, -1.1477374606272406e-11, -4.51175763416245e-11, 1.3742562643415113e-11, -7.630396314795007e-11, 1.2449952180304535e-10, 6.1599614298302185e-12, 2.5193180874794052e-11, -2.6235613681535597e-10, -5.5488058592345624e-11, -1.0949352535760681e-10, 2.2009727373983878e-11, -2.1905033342761726e-11, -8.641554138932861e-11, 2.8956170794458558e-11, 5.297318139696472e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [1.290345608140342e-10, -1.3034084922480815e-10, -2.8904545423813488e-11, 2.4381829888397988e-11, 3.377920165803516e-11, 3.7543768094394636e-10, 9.634626429999571e-11, -3.197083708883497e-10, -3.4982938768024496e-10, 1.1602674376831601e-10, 2.2476731587062204e-10, -1.7292611786956513e-11, 2.5669466552358244e-10, -2.7739044394792245e-10, -5.617684095682307e-11, 5.661493496234016e-11, 8.844658339057787e-11, 7.537868107476697e-10, 1.9420731689478998e-10, -6.275462371974072e-10, -7.094131948548466e-10, 2.341689064877528e-10, 4.4096948315086593e-10, -3.906164280920166e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.3713032365767504e-12, -3.334732490145598e-11, -2.0408896794776865e-11, -4.037914447252433e-11, -7.746170371802918e-11, -9.602274531061994e-11, -1.9327039968430881e-10, -1.455979781184169e-11, 6.762679305438724e-11, -2.988786995672399e-11, -7.958012027131645e-11, 1.389617310110225e-10, 7.070566354627772e-12, -7.285794190181605e-11, -3.7971847888229604e-11, -7.78884734486951e-11, -1.483696498993936e-10, -1.9420554053795058e-10, -4.011311283136365e-10, -2.7769231358831803e-11, 1.281190709079283e-10, -5.8135607439169235e-11, -1.6236645361544788e-10, 2.855042868787905e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m48.0s Method ambiguity | 1 1 10.5s 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 6.9s Compat bounds | 3 1 4 12.8s 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 12.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m08.7s RNG of the outermost testset: Random.Xoshiro(0x353758469da110c7, 0x16e02ac7a18cd45e, 0x606dcb37583cce11, 0x013bc0994edf1fae, 0x649f14e3639171f8) 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 310.34s 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 547.02s: package has test failures