Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2462 (fcc4213c48*) started at 2026-06-30T18:35:30.494 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.69s ################################################################################ # 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 v1.2.1 ⌅ [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 v1.5.5+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 To see why use `status --outdated -m` Installation completed after 4.44s ################################################################################ # Precompilation # Precompiling PkgEval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 17.8 s ✓ VectorizationBase 2.1 s ✓ StrideArraysCore 3.6 s ✓ SLEEFPirates 4.2 s ✓ VectorizedRNG 41.1 s ✓ LoopVectorization 4.5 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 46.0 s ✓ VectorizedStatistics 14.4 s ✓ QuasiNewtonMethods 14.6 s ✓ Octavian 15.5 s ✓ StrideArrays 14 dependencies successfully precompiled in 171 seconds. 56 already precompiled. Precompilation completed after 198.16s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_yPapRY/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_yPapRY/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 v1.2.1 ⌅ [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 v1.5.5+2 [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 = [-1.314386377515575e-10, -2.6548885312394077e-10] QuasiNewtonMethods.optimum(state) .- 1 = [8.386624728018433e-13, 1.7383872119580701e-12] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [6.542177910517921e-10, 1.3264100928722655e-9, -3.590535868625011e-9] QuasiNewtonMethods.optimum(state) .- 1 = [1.5169354661281886e-10, 2.871889392963567e-10, 1.5146106591146236e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [2.3075630295465999e-10, -1.0317080523236655e-10, 4.699307609712378e-10, -1.9619894597866505e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.439382029706394e-12, -5.78137537843304e-12, -4.497624495058972e-12, -1.139677241468462e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-1.7142065544817342e-10, -4.144395937544232e-11, -3.565063799726431e-10, -6.671130314828133e-11, -1.6476375819252098e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.505762347089103e-11, -1.522482140359216e-11, -6.9435679428409e-11, -2.837896584395594e-11, -6.243860983801142e-11] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-1.6308066008718924e-12, -6.297407040278813e-12, 4.85855800036461e-12, -2.0720092308579297e-12, -1.2230216839270724e-11, 1.0762279956111342e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.3054459169790107e-10, 5.413194337222649e-10, -1.841272689873108e-10, -6.62226939951438e-10, 1.1018679302310375e-9, -3.5215808047439623e-10] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-1.6291412663349547e-12, 6.781020189805531e-12, -1.2127410187190435e-11, -2.9811708657234703e-12, 1.4396706049524255e-11, -2.4093504968902835e-11, 3.885780586188048e-14] QuasiNewtonMethods.optimum(state) .- 1 = [-6.379674566403537e-12, 2.285061029283497e-12, 4.154454558147336e-13, -1.2946421712456413e-11, 4.313438495273658e-12, 1.4841461393189093e-12, -2.1604940059205546e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-7.264522317029787e-12, -3.764322187294056e-12, 2.0372592501871623e-11, 3.098543643886842e-11, -1.3594680936535042e-11, -9.276912571465346e-12, 3.990940911080543e-11, 6.176770206423043e-11] QuasiNewtonMethods.optimum(state) .- 1 = [7.427614079347222e-12, 3.5006664234060736e-11, 2.2377655284344655e-12, -3.7790104379098466e-11, 1.5479839632348558e-11, 7.357758846637807e-11, 5.127009927718973e-12, -7.68094476910619e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [1.9437562670532316e-11, 2.2602142379923862e-11, -1.5302425993013458e-11, 2.383160335739376e-11, 3.6760816612968483e-11, 4.560307687029308e-11, -3.1044389281476015e-11, 5.0343951230047423e-11, -3.031297435285296e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.58819632392715e-11, -3.0834335085216935e-11, -6.490474824261128e-12, -3.750533217328211e-11, 4.956124399768669e-11, -5.931000135461773e-11, -1.443045682947286e-11, -7.72866215470458e-11, 5.81756864903582e-14] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [7.245359867624757e-11, -1.750196654271008e-10, 2.118476505330591e-10, 6.673395169798368e-11, -1.9073487234066988e-10, 1.3014722632931353e-10, -3.4670322168750545e-10, 4.2912384756732536e-10, 1.3987766500633825e-10, -3.773887868874226e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.6517232026558304e-11, -2.4418356225908155e-11, 4.93050045236032e-11, -2.4009683130543635e-12, -9.834355552129637e-12, 3.4604097365331654e-11, -4.674205467125603e-11, 1.0128786698260228e-10, -9.375833442959447e-13, -2.126754328202196e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-4.2872250194392336e-10, 1.9560064679069455e-10, 2.1815882433884326e-12, 2.390843079069782e-11, -2.861200165682476e-10, -8.57402815412911e-10, 3.872455689446497e-10, 8.643530335916694e-12, 6.023670451327234e-11, -5.881379827599176e-10, -1.5715428958174016e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2227319157176453e-10, -2.359121786810192e-10, 1.9530155270786054e-10, -5.703815197932727e-11, 3.0165847597629636e-10, -2.4784918561948643e-10, -4.661679930961782e-10, 3.9591108169645395e-10, -1.094091484077353e-10, 6.140963293432833e-10, 7.971023840980251e-11] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [1.239490732274362e-10, 8.018274932908298e-11, -1.3781442653737486e-10, -3.954714333787024e-11, -6.575717748091847e-11, -7.843969918042148e-11, 2.5438851025683107e-10, 1.4597567599139438e-10, -2.736681992132617e-10, -8.006706408991704e-11, -1.217353995386361e-10, -1.608994049107082e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.375744128675251e-12, -2.0272672429655358e-13, 4.909184170287517e-12, 1.7893242443278723e-11, 1.4872547637878597e-12, -5.114686452145634e-12, 6.3082872259201395e-12, -6.66355859380019e-13, 9.985567928083583e-12, 3.578937146642147e-11, 4.070743742090599e-12, -8.848255461657573e-12] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-2.7595370433175503e-10, 2.5821345062126966e-10, 3.639644141628651e-11, 1.63419056065095e-10, -1.5033707612133185e-10, 3.4235969614826445e-10, -5.667446512092056e-10, 5.02136998647984e-10, 6.646039274471605e-11, 3.3024250001290056e-10, -3.0809343964932623e-10, 6.952403097670867e-10, 2.3815172056629308e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-6.517464345989765e-11, -7.680522884356833e-13, 5.957079274310217e-11, -4.314582024989022e-11, -3.053834962685187e-11, 7.0676797747637465e-12, -1.2445888764034407e-10, -7.010281244390626e-12, 1.228392942920209e-10, -8.414580143778494e-11, -6.611278191570591e-11, 1.463962284731224e-11, 5.893285859315256e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-2.1542767569826538e-11, 8.713740839993989e-11, -3.026923156568273e-11, 4.997402491824232e-11, -3.6451952567517765e-12, -2.72174505155931e-11, 1.5626167026994153e-11, -4.6473158654691815e-11, 1.8088175401942408e-10, -6.134459606954579e-11, 1.0610468059724099e-10, -5.4509730063045936e-12, -5.6552096339146374e-11, 3.1878055750667045e-11] QuasiNewtonMethods.optimum(state) .- 1 = [9.044320847806375e-12, -4.849276535878744e-11, -7.904976673245301e-11, -1.193389831399827e-11, 1.4888157373604827e-10, -2.2141843913914272e-11, -2.961419998115389e-11, 1.9487966795850298e-11, -8.60296278659689e-11, -1.5856005397552053e-10, -2.0622947793924595e-11, 3.1240787734532205e-10, -4.879152637471407e-11, -7.128497792052713e-11] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1142087252835609e-11, -8.623879388380828e-12, 2.3727242393078996e-11, -2.3493429424092938e-11, -1.2719048037013181e-11, -6.228462190449591e-12, -1.1411316336307209e-11, -2.163247359021625e-11, -1.3725576231138348e-11, 4.7065906727539186e-11, -4.792277685794488e-11, -2.7272961666824358e-11, -1.2437717522573166e-11, -1.9331203304773226e-11, -4.184430579812215e-13] QuasiNewtonMethods.optimum(state) .- 1 = [3.532951708962173e-12, 8.130607298539871e-12, 1.0392131599701315e-11, 6.903366767119223e-13, 1.574074204313547e-12, -4.562794586604468e-12, -1.722677556159624e-11, 6.070699498650356e-12, 1.491984313872763e-11, 2.1722623699815813e-11, 2.8066438062523957e-13, 3.2962521601120898e-12, -8.051781463791485e-12, -3.460787212361538e-11, 1.3322676295501878e-14] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-3.863809272530716e-11, 6.107336858462986e-11, -3.980038520978724e-11, 9.633183140067558e-12, -2.1381030279599145e-10, -1.024061946353072e-10, -1.9879320412030665e-10, 1.1113110431892892e-11, -8.995648670406808e-11, 1.2056555753758857e-10, -6.463363177999781e-11, 3.165845363639619e-11, -4.3567605079175564e-10, -2.0048451787602062e-10, -4.0051584271338925e-10, 2.2510882047299674e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.7690740245798224e-12, -6.961986542819432e-12, 6.632405735729208e-11, 1.1071144001562061e-11, 1.4617862476029586e-11, 5.349587439695824e-11, -1.556643702826932e-11, -9.766631947627502e-12, -1.2264300686126717e-11, -1.4728440689282252e-11, 1.2999201715047093e-10, 1.8604451312853598e-11, 2.7107649458457672e-11, 1.1082024187203388e-10, -2.995770298497291e-11, -1.829381091056348e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [2.3776314250767427e-11, -1.330552334977142e-10, 1.3057310788155974e-10, -4.41386927008125e-11, 5.089706434091568e-12, 1.1092193830108954e-10, 1.2801759652347755e-11, 5.084066501126472e-11, 5.889488896571038e-11, -2.5921098600889536e-10, 2.482292149608156e-10, -8.64469607009255e-11, 1.2824630246655033e-11, 2.3809287874598795e-10, 2.1872725852745134e-11, 7.978084859416867e-11, 2.667865928174251e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.9181800592349418e-10, 4.7269743674860365e-11, 2.574118695974903e-10, 1.7358359194474815e-10, -7.162970216967324e-11, 1.9580181920275663e-10, 2.3857626985090974e-10, 9.02680152847779e-11, -3.8023761916861076e-10, 9.28812582401406e-11, 5.216242993100195e-10, 3.40498074180573e-10, -1.4467405051732385e-10, 3.897209222003539e-10, 4.792284347132636e-10, 1.9204682288886943e-10, 4.799494135454552e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [2.545297306255634e-11, -9.109357712588917e-11, 1.1265655075476388e-11, -1.9778734205999626e-11, -1.0348943924043397e-11, 1.780398051209886e-11, -1.0657730253882391e-10, -1.0708256503733082e-10, -3.1691316237925093e-11, 5.72886182936827e-11, -1.8515300403976198e-10, 1.8483437003169456e-11, -4.95431473623853e-11, -2.0407231460239927e-11, 3.194844389042828e-11, -2.1429902297143144e-10, -2.179623148634846e-10, -6.415401543335975e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.764555665090711e-11, -4.8486881176756924e-11, -8.987255384340642e-13, 1.1585421511028926e-10, -3.318290087150899e-11, 1.779465463869201e-11, -7.151146341755066e-11, 6.054734491556246e-11, 5.351386000995717e-11, -1.5846535195152e-10, -9.65462154667307e-11, -1.48947520983711e-12, 2.2506085883833293e-10, -7.999367834798932e-11, 3.010147686666187e-11, -1.3977718982260967e-10, 1.08115738584047e-10, 1.1302692115577884e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [3.888001032237298e-13, -4.368416739453096e-11, 1.216338141318829e-11, 2.4201529669198862e-11, -1.7602586055431857e-12, 1.892752621301952e-11, -2.4112489782623925e-11, -2.4005686327654985e-11, 1.4377166124290852e-11, 1.4068746168049984e-12, -9.000289402649742e-11, 2.4780177909633494e-11, 4.987410484602606e-11, -3.051892072392093e-12, 3.506950285725452e-11, -4.2811421074873124e-11, -4.7253867485608225e-11, 3.1231461861125354e-11, -3.063105324940807e-13] QuasiNewtonMethods.optimum(state) .- 1 = [9.849521198646016e-11, 3.036015883139953e-12, -8.172951204699075e-11, 3.750200150420824e-11, 5.879385867046949e-11, 2.9204150209238833e-10, 1.48423273671483e-10, -3.584887942054138e-11, 5.669531510932302e-11, 2.0224266705781702e-10, 2.9958258096485224e-12, -1.6693790794164443e-10, 6.82847112187801e-11, 1.1983702918882955e-10, 5.707851968850264e-10, 2.8933722084900637e-10, -7.058953421790193e-11, 1.0863088206747307e-10, -5.510703005029427e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [-1.084972112153082e-10, 6.616263092951158e-11, -1.4093615163801587e-11, -1.5928347529836628e-10, -4.679068243973461e-11, 1.3102186002811322e-11, 2.0730084315800923e-12, 2.2400659105414888e-10, 9.194844885485054e-11, -8.646394711320227e-11, -2.186506531387522e-10, 1.3092971151706934e-10, -2.914923857844087e-11, -3.2280245143567754e-10, -9.687317614748281e-11, 3.167888174004929e-11, 5.9541260810647145e-12, 4.471698566987925e-10, 1.8619705777211948e-10, -1.7348489311785897e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.3073421779050705e-10, -3.001943138514207e-11, 3.1976332692806864e-10, -2.3034596452475853e-10, -1.3140910581910248e-10, 2.111406605109778e-10, 2.2545298961063054e-11, -8.890166380837172e-11, -2.6256441465477565e-11, -1.1267164978789879e-10, -6.563780630131077e-10, -5.248645962296905e-11, 6.301366095584626e-10, -4.652032092877789e-10, -2.459277226307677e-10, 4.2591774551681283e-10, 2.220623684934253e-11, -1.7812329389244042e-10, -5.4231730217679797e-11, -2.335386328766731e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [2.297317891475359e-11, -2.7382651701657323e-11, 8.005218710138706e-11, -2.1053192522657582e-10, 1.764306478690969e-10, 1.1091949581043536e-10, 5.3712145842155223e-11, -1.542388439190745e-11, 3.0285507435223735e-10, -5.097638977602514e-10, 4.6486370308684855e-11, -4.7028825278516706e-11, 1.6464873908716982e-10, -4.0388847821759555e-10, 3.6002223424702606e-10, 2.170299495674044e-10, 9.999356898049427e-11, -3.035349749325178e-11, 6.096787519282998e-10, -1.0152839680088732e-9, 2.4842350399012503e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.3002489630007403e-12, -1.6143530956469476e-11, 3.799183190267286e-12, 7.400746682151293e-13, -1.4525047831170923e-12, 2.3214763444912023e-12, -4.717115587027365e-12, -3.93618471150603e-12, -9.382494781107198e-13, 1.0362821711851211e-12, 6.5580874064608e-12, -3.0927815863890373e-11, 7.649880728877179e-12, 1.3202772208842362e-12, -2.7062796448262816e-12, 4.4155790135391726e-12, -9.151679414287628e-12, -8.10007616536268e-12, -4.062528091708373e-12, 1.7681411890180243e-12, -5.411227022023013e-13] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [3.005284909818329e-11, -3.8929526269271264e-11, -1.4534373704577774e-11, 4.1946446316387664e-11, 9.857425986581347e-11, -1.6493273413686893e-10, 2.044389102451305e-10, -7.045342087508288e-11, -7.313261107810831e-11, -7.145195546343075e-11, 7.571077098589285e-11, 6.142042430212769e-11, -8.77478090188788e-11, -2.94160251712583e-11, 8.076517232780134e-11, 1.9686186014666873e-10, -3.356109834484755e-10, 4.10948164386582e-10, -1.4076440013610636e-10, -1.4349710308891872e-10, -1.375420888294343e-10, 1.5531509411914612e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.255529096828468e-12, -3.101852108500225e-12, -3.8469227803261674e-13, 2.3734347820436597e-12, 2.844391389089651e-13, -2.1183055309847987e-13, -5.820899318109696e-13, -9.89319737243477e-13, 3.0442315335221792e-12, 1.3362644324388384e-12, 9.849898674474389e-13, -4.065525693874861e-12, -6.566414079145488e-12, -6.515898931525044e-13, 4.699796107843213e-12, 5.651035195342047e-13, -6.474820679613913e-13, -7.94031507211912e-13, -2.0295987113172487e-12, 6.000755448098971e-12, 2.800870646524345e-12, 1.8247625632739073e-12] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [6.95221658020273e-12, -7.00695057531675e-11, 5.960942850435913e-11, -1.7711287991772906e-10, -4.2570058589319615e-11, 3.7385428086622596e-11, -8.880673973976627e-12, 2.6532775976306766e-10, -3.861366781876541e-11, -9.960454683266562e-11, -1.3547718502593398e-11, 1.269384597435419e-11, -1.3525147668502768e-10, 1.2235079616118583e-10, -3.5382285989982165e-10, -8.602896173215413e-11, 8.185341293653892e-11, -7.524647571699461e-12, 5.450817575081146e-10, -6.744371727762655e-11, -2.0586843341163785e-10, -2.568956158910396e-11, -2.019506784023406e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.400191239677497e-11, 2.1682211581719457e-11, -8.43414227347239e-12, 3.545563842521915e-11, 5.557776461273534e-13, -8.060752065830457e-11, -1.3163159451323736e-10, 1.9670931550308524e-11, 1.0354539448087507e-10, -3.5046410218342317e-11, 5.349720666458779e-12, 6.532241414447526e-11, 4.515388063452974e-11, -1.574207431076502e-11, 6.705369592907573e-11, 7.2166717046684425e-12, -1.5423740062914248e-10, -2.7175461880801777e-10, 3.676015047915371e-11, 1.8863888229248005e-10, -7.166411908343662e-11, 1.3601786363892643e-11, 5.593969731876314e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [5.359823695982868e-11, -3.256550584751494e-11, 3.1100011455009735e-11, -4.214717463923989e-11, -3.893541045130178e-11, -7.940870183631432e-12, -2.4549029475906536e-11, -6.4678262745587745e-12, 2.7166491278762805e-11, 1.2710277275118642e-11, 4.710920542549957e-11, 1.0901279878794412e-11, 1.0645950787591119e-10, -6.510358918632164e-11, 5.956501958337412e-11, -8.632017323151331e-11, -7.987388528363226e-11, -1.5449308499171366e-11, -5.077327447366997e-11, -1.2310596986253586e-11, 5.2931437011238813e-11, 2.1940227412642344e-11, 9.289680136248535e-11, 2.5306645667910743e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.4079315491244415e-10, -2.2357193874000814e-10, -6.1378013782587e-11, 7.378875288566178e-11, -2.874267490682314e-11, -1.6885493003826468e-11, 1.000293181618872e-10, -4.645139828340916e-11, 1.0337219968903355e-10, -1.0070055900257557e-10, 1.977247254814074e-10, 7.469869167664456e-11, 2.762887696405869e-10, -4.5623205213729534e-10, -1.2909007196526545e-10, 1.4134671211252225e-10, -6.017131237712192e-11, -2.6133428754349097e-11, 2.1348833811885015e-10, -8.886669178309603e-11, 2.104523222357102e-10, -1.99600780348419e-10, 3.991813546377898e-10, 1.5562418020920177e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m53.0s Method ambiguity | 1 1 9.9s 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 7.0s Compat bounds | 3 1 4 12.4s 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 11.6s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m04.8s RNG of the outermost testset: Random.Xoshiro(0x4be7745f04915d2e, 0x29ec09a98b3fd49c, 0x58e77d1d4b9d88f3, 0x40a0f3e6d6c27754, 0x4a97ae3dffb5cb0d) 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 315.83s 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 551.33s: package has test failures