Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2336 (83323976df*) started at 2026-06-11T18:39:39.282 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.51s ################################################################################ # 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 v4.6.1 [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 v1.0.1 ⌅ [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 v1.5.2+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 To see why use `status --outdated -m` Installation completed after 4.62s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 5.5 s ✓ StaticArrayInterface 1.3 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.5 s ✓ LayoutPointers 1.3 s ✓ CloseOpenIntervals 19.5 s ✓ VectorizationBase 2.2 s ✓ StrideArraysCore 3.7 s ✓ SLEEFPirates 4.2 s ✓ VectorizedRNG 40.4 s ✓ LoopVectorization 4.1 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 43.5 s ✓ VectorizedStatistics 14.2 s ✓ QuasiNewtonMethods 15.1 s ✓ Octavian 16.2 s ✓ StrideArrays 14 dependencies successfully precompiled in 173 seconds. 56 already precompiled. Precompilation completed after 199.13s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_q4f5LU/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_q4f5LU/Manifest.toml` [79e6a3ab] Adapt v4.6.1 [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 v1.0.1 ⌅ [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 v0.5.6 [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 v1.5.2+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 v3.5.6+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/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 = [-3.1885605267234496e-13, -6.601386104421181e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0500478264674484e-10, -2.227842355040366e-10] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-8.246991978211327e-11, -1.597946219789037e-10, -4.8497983407003176e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.5439649558857127e-11, 4.70066208180242e-11, 5.367928324062632e-12] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [1.2503331703328513e-11, -3.714435425905549e-10, 4.3691938955703336e-11, -7.205895879991431e-10] QuasiNewtonMethods.optimum(state) .- 1 = [6.362865789810712e-11, 1.1596057447604835e-11, 1.2317080688717397e-10, 2.2096102725299716e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2025991313890927e-10, -3.5020875088775938e-12, -2.4121427077972157e-10, 1.1019629653219454e-11, -1.5366596883836792e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.400537463780438e-10, 2.6881830095248915e-11, 2.798343778920298e-10, 4.700240197053063e-11, -1.1325385074201222e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [8.36815061688867e-11, -5.370726086084687e-11, 9.517142629533737e-11, 1.645350522494482e-10, -1.0447809284386267e-10, 1.8045831495783204e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0370371228418662e-11, 8.353984171094453e-12, 1.2276402117095131e-11, -2.045763558555791e-11, 1.603650545689561e-11, 2.5832447292373217e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [4.2224002072543954e-11, 1.0612133394261036e-10, -3.005307114278821e-11, 8.463763023769388e-11, 2.0725221538953065e-10, -6.526146290042334e-11, -4.453593049902338e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.1250333997736561e-11, -5.645828249356555e-11, 2.3000046311949518e-11, -1.9199752898657607e-11, -1.116547965196446e-10, 4.605271719526627e-11, -6.2516658516642565e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-5.754174914329724e-11, 2.2349455619519176e-11, 3.711009277651556e-11, -3.813394044982488e-11, -1.118485304374417e-10, 3.84960952004576e-11, 7.651812516940026e-11, -8.596057199383722e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.9954438101876804e-10, 1.0542677841840487e-10, -8.580991472939559e-11, -7.784661804066673e-12, 3.900886280661098e-10, 2.0316703874811992e-10, -1.7982915156977697e-10, -1.2056800002824275e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-3.892286493112351e-11, 2.0326851313257066e-11, 3.058353570395411e-11, -2.7176927375194282e-11, -7.6375239466131e-11, 4.498090788729314e-11, 5.887712539731638e-11, -5.363831601101765e-11, 2.3664181725280287e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.2167602742892996e-11, -6.265821195228227e-11, 8.199352308224661e-11, 4.442002321525251e-12, 9.239564668916955e-11, -1.232811630558217e-10, 1.786792935831727e-10, 1.1232126340132709e-11, -1.3018475186754586e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-4.8648862716049734e-12, 1.1395107080147682e-11, 2.843325574986011e-11, -2.1932344829167505e-11, -5.92081939032596e-12, -9.387601807020474e-12, 1.9925616712157534e-11, 5.39133182542173e-11, -4.435640743594149e-11, -1.1387335518975306e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2073619881647346e-10, 4.333644554321836e-11, 3.284705840655988e-12, 1.5413093024108093e-10, -9.204403905727077e-11, -2.500472051636393e-10, 8.040523802321786e-11, 5.687450510549752e-12, 3.234781331684644e-10, -1.7849310918194305e-10] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-4.495829264428153e-10, 1.3563372647240612e-10, -5.366604938217279e-10, 1.3240963880889467e-11, 8.117773120375205e-11, -9.228307007447256e-10, 2.5801627501209623e-10, -1.0761826985117295e-9, 6.41642294851863e-12, 1.5933432351289412e-10, 2.6255886353965252e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.7990054718429747e-11, 6.886469172684428e-11, 6.899814053440423e-12, -4.590439139917635e-12, 9.910716691763355e-11, 5.6027849026918375e-11, 1.3548562272092113e-10, 1.456545994926728e-11, -1.1591949622413722e-11, 2.040894120369785e-10, 7.743139462945692e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [8.347633695393597e-11, -1.7618018155474147e-11, -1.4629963906998e-11, -7.787048783569617e-11, -4.6696535527246397e-11, -2.1936452654358618e-11, 1.7329804258281456e-10, -4.02293753865024e-11, -2.9300672998999744e-11, -1.5566770095176707e-10, -9.69117008864373e-11, -5.651168422105002e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.1445069598466944e-11, 5.390576873764985e-12, -1.1316392267701758e-11, 5.2806647943270946e-12, 1.486211154144712e-11, -2.543054655745891e-11, 8.546297003420023e-11, 9.943157408542902e-12, -2.454392244999326e-11, 1.0590861521109218e-11, 2.900435447372729e-11, -4.9566351023599964e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [3.895594957725734e-11, -1.97915461797038e-10, -1.2699286067174853e-11, -1.852835662674579e-10, 1.815569916630011e-11, 2.927214026726688e-11, 7.647016353473646e-11, -4.0852143889935633e-10, -1.4861334385329883e-11, -3.607422138784955e-10, 3.424194261469893e-11, 5.909273070869858e-11, -1.1457501614131615e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.884848081587734e-11, -9.281020396656459e-11, -5.3152593437744144e-11, -4.495737115917109e-12, 1.7600365609382607e-11, 4.239808504280518e-11, 9.680989343507918e-11, -1.9002022177971867e-10, -1.0992751153793279e-10, -1.636657476211667e-11, 3.054934083479566e-11, 8.227174497221768e-11, 5.647282641518814e-11] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-9.505840559143053e-12, -1.4198242581642262e-10, -9.979117532310511e-11, 2.113695884986555e-10, -1.7475776381559172e-10, 5.465072838717333e-11, 3.222671018932033e-10, -3.1513125442472756e-11, -2.8576085941978135e-10, -1.8878598684324288e-10, 4.1216408064315146e-10, -3.469083909024562e-10, 1.2578604824398099e-10, 6.49950093745133e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.934896687316723e-12, 2.55377941016377e-11, 1.759703494030873e-11, 2.5752511234600206e-11, 1.0308576214868026e-10, -1.7862378243194144e-12, -1.1119194454067838e-10, 1.411093464298574e-12, 5.7565063826814367e-11, 3.3267832932892816e-11, 5.227596133750012e-11, 1.996860454767102e-10, -3.2499558599852207e-12, -2.1553447915323432e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [2.7574165173405163e-11, -7.084088871067706e-11, -3.534705861341081e-11, 6.672107311089803e-11, 2.751310290705078e-11, -5.575839789884185e-11, -8.337042167738673e-11, 5.014211268417057e-11, -1.4914991464110017e-10, -7.356071307640377e-11, 1.366553536996662e-10, 6.33029184626821e-11, -1.2501699675482314e-10, -1.6307299954831933e-10, 6.669553798133165e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.287714545052722e-11, 3.100497636410182e-11, -6.522582474133287e-11, 7.301048654539954e-12, 4.3864911702939935e-12, -7.816347569189475e-11, 3.818079186146406e-11, -6.804878882604726e-11, 6.635425542356188e-11, -1.251195813622985e-10, 9.481748719508687e-12, 9.580336524095401e-12, -1.5678491838144737e-10, 8.161227249559033e-11, 3.859135233597044e-13] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-1.6050449858084903e-10, 8.762324199551585e-11, -8.386169536578336e-11, -2.1734469779488563e-10, 1.3510326191124022e-10, -3.3313241054599985e-11, 6.111133821207204e-11, 9.707190606889071e-11, -3.2116687087579976e-10, 1.9875323609142015e-10, -1.7261281293201591e-10, -4.435855016637902e-10, 2.684967803645577e-10, -5.636702216094136e-11, 1.1312351055892123e-10, 1.9769741399500163e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-4.659039820609223e-11, -2.1895818491657337e-12, -1.633793100808134e-11, -1.809252747619894e-11, 2.94382296317508e-11, -3.003608473051145e-11, 3.397282455352979e-11, 8.952616425972337e-12, -9.372114195826953e-11, -4.807709785836778e-12, -3.615396870770837e-11, -2.99713587281758e-11, 5.8042459727403184e-11, -5.744416053943269e-11, 7.026712545155078e-11, 1.8122392475561355e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [8.077760682567714e-11, 3.2881586342625724e-10, 3.370634882315926e-10, -1.1553280554466028e-10, 1.987900954958377e-10, 1.5183343471392163e-10, 1.1743717109879981e-11, 1.336570853993635e-10, 1.4339462950374582e-10, 6.834599552973941e-10, 6.8649308460067e-10, -2.466461479500026e-10, 4.0562886383099794e-10, 3.111151336554485e-10, 3.0026647834802134e-11, 2.899531725830684e-10, -1.2980394537009943e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2173650976166073e-10, 1.5705126088505494e-10, 5.816369608169225e-11, -2.1559709573182317e-10, -3.9110492622285165e-11, -4.863098812535327e-11, -1.6648082912240625e-10, 8.323519651298739e-11, -2.5201762898774405e-10, 3.158049377560701e-10, 1.1554379675260407e-10, -4.3193881804626244e-10, -7.958655956485927e-11, -9.067013806429713e-11, -3.253151081850092e-10, 1.624842482783606e-10, 2.6179280965266116e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [1.6285794934844944e-10, -6.906897276337531e-11, 3.4634695111890323e-10, -2.5053847885203595e-11, -1.2929390891258663e-10, -3.492215405742627e-10, 4.471689685203728e-11, 1.7192292034451384e-10, 1.440438879285466e-10, 3.3820657385774666e-10, -1.4537293591132538e-10, 7.061571327682259e-10, -4.8269832575442706e-11, -2.5976043538378235e-10, -7.089833164997117e-10, 9.371903253452274e-11, 3.5610847604061746e-10, 2.9373259380349737e-10] QuasiNewtonMethods.optimum(state) .- 1 = [6.725087153824916e-11, -1.0543621531411418e-10, -8.693790132241475e-11, -4.223477123588282e-11, 8.832490294707895e-11, -6.518197093186018e-11, -5.181521878228068e-11, 3.9762415582345056e-11, -5.953137982572798e-11, 1.415592087994355e-10, -2.0524437704949605e-10, -1.7355983317202117e-10, -8.117695404763481e-11, 1.7426060594516457e-10, -1.3040457602642164e-10, -1.0111245174471151e-10, 8.430101061662754e-11, -1.124752513348426e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [4.731237623900597e-11, -1.4971801576280086e-11, 3.047850860582457e-11, -6.284350817509221e-11, 2.0214496743165e-11, 5.027800398238469e-11, 7.847722471865382e-12, 3.5630165484690224e-11, -6.147971021164267e-11, 8.96771545910724e-11, -3.053390873475337e-11, 6.244627037688133e-11, -1.274286232089139e-10, 3.7377878570055145e-11, 9.783152066233924e-11, 1.5125456442888208e-11, 7.384981515201616e-11, -1.0991274557170527e-10, 8.020917263706906e-12] QuasiNewtonMethods.optimum(state) .- 1 = [5.5987658953426944e-11, 1.378750447145194e-10, 3.3183011893811454e-11, -3.70661279447404e-11, -1.0684786388992507e-12, 3.2775337999169096e-11, -1.55684243274834e-10, 1.8709700455588063e-11, -4.922806606799668e-11, 1.0609602085764891e-10, 2.895848005834978e-10, 6.684097719755755e-11, -7.377243260719979e-11, -3.858247055177344e-12, 6.016853681956036e-11, -3.193432185355505e-10, 4.195244152072064e-11, -1.0304579411979375e-10, -8.919531779838508e-13] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-1.5036749623220658e-11, -7.104850041628197e-11, 9.056222438630357e-11, 7.044231864483663e-11, 4.5422332561884105e-11, 9.641776266278157e-11, 2.6219693083362472e-11, 1.279700789780236e-10, -3.854194741137462e-11, -9.272105305768719e-11, -3.1115887644261875e-11, -1.3936285458981956e-10, 1.7798340579133765e-10, 1.4157919281387876e-10, 9.31066335141395e-11, 1.8596146844629402e-10, 4.899214367526383e-11, 2.604882975987266e-10, -7.784584088454949e-11, -1.8763501863361398e-10] QuasiNewtonMethods.optimum(state) .- 1 = [7.924283451643532e-11, -5.763678423420515e-11, -1.9569446063627538e-10, -4.275246823226553e-12, 4.3853365383483833e-11, 3.2818192607919627e-12, -5.041300710217911e-12, 1.272648653127817e-10, 8.133893558692762e-11, -1.8034240767406118e-11, 1.6798096247327976e-10, -1.0818757001374024e-10, -4.0748004970225793e-10, -1.6294743332423423e-12, 8.839173837316139e-11, 4.53770354624794e-12, -7.0037309285453375e-12, 2.514914942963742e-10, 1.5880963211145627e-10, -3.601341447279083e-11] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-6.874933955458573e-11, -1.1120115939178277e-10, -7.399347801140266e-11, -7.499667553645395e-12, 1.645172886810542e-11, 2.4291235689588575e-11, -5.264677582772492e-11, -2.955435896012659e-11, 5.7912785678126966e-11, 4.16655598911575e-11, -1.3982381918964393e-10, -2.3020618744595822e-10, -1.4643153356530547e-10, -1.4886647470291337e-11, 3.133227011176132e-11, 4.886802074111074e-11, -1.0415668327823369e-10, -5.13288300751924e-11, 1.0829959151692492e-10, 8.038480991956476e-11, 6.427480769843896e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-6.178668687795152e-11, -9.044909266009427e-11, -6.651934558732364e-11, -3.8878011920928657e-11, -6.572931088300038e-11, -2.275957200481571e-11, -8.741662949063311e-11, -4.991707047707905e-11, -5.3685722534169145e-11, 4.8263615326504805e-11, -1.1851541970031576e-10, -1.7852830325182367e-10, -1.4791556868232192e-10, -7.740352803153883e-11, -1.2946455019147152e-10, -4.4547698863084406e-11, -1.7694024023739985e-10, -9.716361049072475e-11, -1.1313872061435859e-10, 1.0003153860793645e-10, 8.788525462932739e-13] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-6.194567081507785e-11, -7.686729031064488e-11, -1.2673040394872714e-10, 1.7080914460620988e-10, -2.6529112240325503e-11, -3.6788860846570515e-10, -4.806166575832549e-11, 9.336798001413626e-11, -1.0359646474000783e-10, -1.1113465703260772e-10, 1.4703283035544246e-10, -1.2971212992596293e-10, -1.5715662105009187e-10, -2.517939190482821e-10, 3.488302979803848e-10, -5.700295790944665e-11, -7.317088046576714e-10, -9.63448210100637e-11, 1.871836019518014e-10, -2.0909651787803796e-10, -2.2892487905323833e-10, 3.1289948410062607e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.895217481897362e-11, -3.2619462686511724e-11, 3.0180302701410255e-12, 1.5195178448834668e-11, 1.945010819071058e-10, 5.2314153009547226e-11, -7.528566658976388e-11, -1.3780432350785077e-10, -1.5231704786344835e-11, -1.2525092074611166e-11, -1.2100320745389581e-12, -7.763101272928452e-11, -7.049505423850633e-11, 6.272315999922284e-12, 3.2411628936301895e-11, 3.8367775623271427e-10, 1.0266099081945868e-10, -1.6215184750478784e-10, -2.7162172511197014e-10, -3.369071688297254e-11, -2.4430679701481495e-11, -3.841038598295654e-12] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-2.6211588455282708e-11, 2.4358293160275934e-12, -2.547240196548728e-11, 3.576539064908957e-11, -4.196976099990479e-12, 1.3500311979441904e-12, 1.1850298520243996e-11, -8.171241461241152e-13, -1.3987699887252347e-12, 4.649414186985723e-11, -2.81107359612065e-11, -5.109812573067529e-11, 3.79185571830476e-12, -4.965050592886655e-11, 7.151812475569841e-11, -6.7795768998735184e-12, 3.1403768474547178e-12, 2.2754909068112283e-11, -1.7053025658242404e-12, -9.965361869035405e-13, 9.532419298352579e-11, -5.874989383869433e-11, -1.5272227926743653e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.797135856269506e-10, -2.3466961707185874e-10, 3.932061343192572e-10, -5.119157320265799e-10, 2.2575918912082216e-10, 2.4961588351857245e-11, 2.2055934856268777e-10, 1.541953231765092e-10, -1.200299859505094e-10, 1.5037615597179865e-10, 7.291389714225716e-11, 5.558966620355932e-10, -4.6542847353947536e-10, 7.716243199951123e-10, -1.017260164992706e-9, 4.647895401888036e-10, 3.835554096554006e-11, 4.383744478531071e-10, 3.118103553134688e-10, -2.5583990481692354e-10, 2.879465554883609e-10, 1.3696288547748736e-10, -2.2317592218712434e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-8.002443152577143e-11, -2.9762858844151197e-12, -1.3364864770437634e-12, -4.5751069599475613e-11, 3.247047075660703e-11, -1.779465463869201e-12, -1.4265699732618486e-11, 1.27649002479302e-11, -3.037214924006548e-11, -3.656963620812803e-12, -9.893974528552008e-12, 2.4842350399012503e-11, -1.5943668607576456e-10, -7.889688902196212e-12, -5.149214388211476e-12, -9.694656188941053e-11, 6.204037283907837e-11, -4.60875781982395e-12, -2.1962320850832384e-11, 2.4632518247358348e-11, -6.257094842254673e-11, -8.05333577602596e-12, -1.950617445345415e-11, 5.103317768373472e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.290079402835545e-10, -3.2702562879904917e-10, -1.2161383011743965e-12, -4.482558768614808e-11, -6.31033003628545e-11, 8.417799790549907e-11, -8.298206566337285e-11, -6.275935326982562e-11, -1.8331147710881623e-10, -2.3414825633949476e-11, 1.4671530657039966e-10, -6.056222190409244e-11, 8.641423132615955e-10, -6.539941921346326e-10, -3.6323166696661247e-12, -8.984946120449422e-11, -1.2927814374563695e-10, 1.7973467159038137e-10, -1.6393753021759494e-10, -1.3026302259078193e-10, -3.6882519260927893e-10, -5.0307424892537256e-11, 2.9378033339355625e-10, -1.247265624115812e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m39.8s Method ambiguity | 1 1 10.7s 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 7.5s Compat bounds | 3 1 4 12.5s 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 11.8s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m01.9s RNG of the outermost testset: Random.Xoshiro(0xd461af43cc37c8cc, 0xa42b63ab97a1cc5e, 0x7154442e0f0833ff, 0x5f5f332d67f5ca7e, 0x9323956ab5febb53) 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 302.78s 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:326 [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 539.42s: package has test failures