Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2232 (ecceaba1c5*) started at 2026-05-27T04:54:35.355 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.35s ################################################################################ # 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 v4.6.0 [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 v0.12.173 [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 v0.6.43 [431bcebd] + SciMLPublic v1.0.1 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.10.0 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [8290d209] + ThreadingUtilities v0.5.5 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.72 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [4536629a] + OpenBLAS_jll v0.3.33+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 4.65s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 4.5 s ✓ StaticArrayInterface 1.0 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.4 s ✓ LayoutPointers 1.1 s ✓ CloseOpenIntervals 17.4 s ✓ VectorizationBase 2.0 s ✓ StrideArraysCore 3.4 s ✓ SLEEFPirates 3.7 s ✓ VectorizedRNG 39.4 s ✓ LoopVectorization 3.8 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 42.3 s ✓ VectorizedStatistics 13.3 s ✓ QuasiNewtonMethods 14.5 s ✓ Octavian 15.2 s ✓ StrideArrays 14 dependencies successfully precompiled in 164 seconds. 56 already precompiled. Precompilation completed after 185.59s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_TWTJRP/Project.toml` [4c88cf16] Aqua v0.8.14 [64452400] QuasiNewtonMethods v0.1.4 [d1fa6d79] StrideArrays v0.1.29 [8dfed614] Test v1.11.0 Status `/tmp/jl_TWTJRP/Manifest.toml` [79e6a3ab] Adapt v4.6.0 [4c88cf16] Aqua v0.8.14 [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 v0.12.173 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.29 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [64452400] QuasiNewtonMethods v0.1.4 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [431bcebd] SciMLPublic v1.0.1 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.10.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [d1fa6d79] StrideArrays v0.1.29 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [8290d209] ThreadingUtilities v0.5.5 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.72 [33b4df10] VectorizedRNG v0.2.25 [3b853605] VectorizedStatistics v0.5.11 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [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 v1.5.1+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.3+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/MCcFg/src/deps_compat.jl:60 Expression: isempty(result) Evaluated: isempty(Base.PkgId[Base.PkgId(Base.UUID("8dfed614-e22c-5e08-85e1-65c5234f0b40"), "Test")]) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:60 [3] test_deps_compat @ ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:45 [inlined] [5] get_testset_depth() @ Test /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/deps_compat.jl:45 n = 2 QuasiNewtonMethods.optimum(state) .- 1 = [4.4138825927575454e-10, 8.832976572392681e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-9.993561533860884e-12, -2.0164758751661793e-11] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [9.616751839303106e-13, 1.9033663534173684e-12, 7.860379014346108e-14] QuasiNewtonMethods.optimum(state) .- 1 = [1.1016076939540653e-11, 2.362066098271498e-11, -4.794309393929552e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [6.084022174945858e-14, -7.86926079854311e-13, 9.841016890277388e-13, -1.1636247521096266e-12] QuasiNewtonMethods.optimum(state) .- 1 = [4.2299497238218464e-13, -2.6634250360757505e-13, 8.120171202108395e-13, -3.3784086639343514e-13] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [3.1675995160185266e-11, -2.729783066257596e-11, 6.36684038823887e-11, -5.323397278544917e-11, -4.107825191113079e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-2.089772799251932e-12, -1.5103807093908017e-11, -5.10924635932497e-12, -2.8820945630059214e-11, -3.698930051143634e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1440648428617806e-10, 4.44917436226433e-11, -2.883049354807099e-11, -2.3726265396817325e-10, 9.655698463006956e-11, -5.919409407084686e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.5066616277390494e-11, -2.369648921529688e-11, -1.0637257741308304e-10, -7.270117841073898e-11, -4.181177626350063e-11, -2.1515378367809035e-10] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [4.2847281278568516e-11, 5.240119449467784e-11, 1.1429612811753032e-10, 7.99469379586526e-11, 9.993117444651034e-11, 2.2554780265693353e-10, 3.179301266698076e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.4083845201184886e-11, 2.032352064418319e-11, 2.7572832905775613e-11, -2.4850788093999654e-11, 3.8520964196209206e-11, 6.009592823374987e-11, -1.566968776955946e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [-3.0603075629187515e-11, -1.5063805758330773e-10, -9.595746419677198e-11, 9.322831395763842e-11, -6.329692325834912e-11, -2.9396063361275537e-10, -1.8704993109963652e-10, 1.9446355636887347e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.828592832708864e-11, -2.770728091405772e-11, 3.056888076002906e-11, -3.4656166825186574e-11, -4.6643577888971777e-11, -4.7171377914878576e-11, 6.265543639472071e-11, -6.718436917907411e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-7.336464769025497e-12, 2.3088198020104755e-12, -1.9809487383781743e-11, -2.645661467681748e-13, -1.132482996268891e-11, 3.3779645747245013e-12, -4.5793480119016294e-11, -9.892087149410145e-13, 6.296474452938128e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.965716561220688e-11, 5.4297455420737606e-11, 3.587796726378656e-11, -2.1839308139703917e-11, -6.039124755830017e-11, 1.1360246077174452e-10, 7.537037660654278e-11, -4.416778054405768e-11, 1.5438317291227577e-11] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1073919559123624e-11, 5.510436551503517e-11, 1.4972956208225696e-10, 1.4180789875695154e-10, 6.50601794660588e-11, -1.664945958879116e-11, 9.380674015346813e-11, 2.940867549483528e-10, 2.8161251108826946e-10, 1.2851852915218842e-10] QuasiNewtonMethods.optimum(state) .- 1 = [8.786749106093339e-12, -2.56136223342196e-11, 2.4029667144986888e-11, 6.903233540356268e-11, 4.2024161928111425e-12, 1.4587220320549932e-11, -5.7934768094014544e-11, 4.887934501596192e-11, 1.4250756130707032e-10, 7.494005416219807e-12] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-4.2370551511794474e-12, 4.5046855134955877e-11, -1.7794099527179696e-11, 2.912647900643606e-11, -8.060441203383562e-12, -1.0407674722046067e-11, 9.323475325118125e-11, -3.377687018968345e-11, 5.849964956894382e-11, -1.4067857989630284e-11, 2.1760371282653068e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.525446435834965e-12, -2.8664848272796917e-12, 2.550204492024477e-11, -6.097011784333972e-12, 5.626388244195368e-12, -2.7817748105007922e-12, -1.872946242542639e-13, 4.9653836597940426e-11, -1.2186140985193106e-11, 1.0718315124336186e-11, -2.6718627310629017e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [5.445066619813588e-11, 2.1561197272035315e-11, 1.1677059319481486e-10, 3.190225861260387e-11, -2.5423330107798847e-11, -1.0528466987125285e-11, 1.1166600977219332e-10, 4.115396912141023e-11, 2.4063528947237955e-10, 6.475486813428688e-11, -5.18761700263326e-11, -7.347900066179136e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.5630163829882804e-11, -1.804356664081297e-11, -1.8226531395271195e-11, -1.2926992809525473e-11, -4.5431658435290956e-11, 1.784106196112134e-11, 3.459432740271495e-11, -3.5766167805206805e-11, -3.440703277846069e-11, -2.6973090427873103e-11, -9.155043390052242e-11, 3.7136516084501636e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-1.308190222815142e-10, -1.6230350396995163e-11, 3.0026026109908344e-10, 1.9965606945504533e-10, 7.861533646291718e-11, 3.906430734446076e-12, -2.656631581388069e-10, -2.8324120826539456e-11, 5.791036539193328e-10, 4.019198307503302e-10, 1.7548806852119014e-10, 2.3368418311520145e-11, -7.64155405619249e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.1648017539964712e-12, -2.2891022410931328e-11, -1.8886003871898538e-12, 6.91691148801965e-12, -4.4241388330590325e-11, -5.5331406123571014e-11, -9.265699318916631e-12, -4.695621669270622e-11, -1.3793410857942945e-12, 1.1260992138772963e-11, -9.361000863350455e-11, -1.1637080188364735e-10, -2.0761836694305202e-11] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [2.2928992038373508e-11, 1.1755041384731157e-12, -4.033773315370581e-12, 1.9628076941557993e-11, -9.202416606512998e-12, 5.750067089138611e-12, -3.976041718090073e-12, 4.453681867744308e-11, 4.867217739956686e-12, -8.95050700222555e-12, 4.203681847059215e-11, -2.0329959937726017e-11, 1.1782574915741861e-11, -9.133027667473925e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.5868174269305655e-10, -8.902756309936422e-11, -3.22768478611124e-10, 7.754685782401793e-11, 7.749023644976205e-11, -2.4508839402415106e-11, 1.4681278415196175e-10, -5.274034542424033e-10, -1.5525825070028532e-10, -6.690945575371643e-10, 1.7103829463849252e-10, 1.4962320271649787e-10, -5.287226212402629e-11, 3.1159785862655554e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1220102624776018e-10, 1.390327852845985e-10, -1.6447954109821694e-11, 1.0527756444389524e-10, 1.1444734049348426e-10, 3.962608019492109e-12, -8.905531867497984e-11, -2.3109025804046723e-10, 2.728990367018014e-10, -3.551359206710458e-11, 2.2781887487610675e-10, 2.173403679250896e-10, 1.5876189252139739e-12, -1.7812062935718131e-10, 6.765921156670629e-12] QuasiNewtonMethods.optimum(state) .- 1 = [6.713429812066352e-11, -1.0774714453987144e-12, -7.951417302365371e-12, 2.5131896563834744e-11, 3.146038984880306e-11, -1.6519452472607554e-11, -1.1618084272413398e-10, 1.3547274413383548e-10, -1.45328193923433e-12, -1.618916112278157e-11, 4.486211402365825e-11, 6.651013073621925e-11, -3.0903168912743695e-11, -2.3173518659547199e-10, 4.6629367034256575e-15] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-5.515032874825465e-12, 2.4404256393495416e-11, 5.953593174012894e-11, 2.4277913013293073e-11, -5.153921733835887e-11, -1.0049960863511842e-11, 6.9890759846202855e-12, -2.8591906620079044e-11, -1.2193246412550707e-11, 5.186562290759866e-11, 1.216728939823497e-10, 4.867817260389984e-11, -1.0287470875169902e-10, -1.6041834527413812e-11, 2.010547284214681e-11, -5.816724879537105e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-8.011702412602517e-12, 5.809352998653594e-12, -4.510392059842161e-11, 9.304779169383437e-12, -6.72122357769922e-11, -1.3180678770652321e-11, -4.1378456216989434e-11, 2.2142288003124122e-11, -1.7057466550340905e-11, 5.600186980814215e-12, -8.553824315526981e-11, 2.120925657322914e-11, -1.3236001183969393e-10, -2.7049584794269776e-11, -7.274780777777323e-11, 3.9927838813014205e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2784617808847543e-10, -6.001443786374239e-11, 2.6029778332770093e-10, 1.637934232689986e-11, -3.0745184176339535e-11, 9.103828801926284e-14, 2.7863200635636076e-10, -1.8544721314128765e-11, -2.53085552515131e-10, -1.1920431308709567e-10, 5.10030240263859e-10, 3.276090509984897e-11, -5.515388146193345e-11, -3.838818152246404e-12, 5.811293668500639e-10, -5.147937631733157e-11, -7.196576667922727e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0447764875465282e-10, -1.931199644644721e-10, -1.1297374147289929e-10, 2.9064173290294093e-10, 2.223754513863696e-10, -7.900291532081383e-11, -1.4867784781102955e-10, -6.345302061561142e-11, -2.0913470955008506e-10, -3.8530589829832707e-10, -2.306499435889009e-10, 5.886591214476766e-10, 4.4341796900937425e-10, -1.6716550366169258e-10, -2.977688096095221e-10, -1.2454992592836334e-10, 2.5526025737576674e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-6.658207318821496e-11, -4.9139581292934054e-11, 7.612577235249773e-12, -2.9543478774485266e-11, 3.3708591473669003e-12, 5.4574567087684045e-11, -2.5930702030052544e-11, 4.346878412775368e-11, -7.872924534524373e-12, -1.2645084979112653e-10, -9.608835949137529e-11, 1.515254588468906e-11, -5.822475834804663e-11, 6.183720202557197e-12, 1.0807998940265406e-10, -4.808908826703373e-11, 9.093348296573822e-11, -1.475664035410773e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.440237066916097e-11, -4.165423561630632e-11, 2.1385559989539615e-11, -1.3169798585010994e-11, -3.7332026359138126e-11, 4.1514791604413404e-11, -2.0087043139938032e-11, 3.910183288269309e-11, 6.908273952888067e-11, -8.068201662325691e-11, -7.771561172376096e-11, 3.89901444464158e-11, -2.4905966178323524e-11, -6.710187960834446e-11, 7.58548779344892e-11, -3.749112131856691e-11, 7.828671044762814e-11, 1.3136003396141405e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [2.8774405080866927e-10, -3.1113345233535483e-10, -1.1982959069456456e-10, 2.2295454371601409e-10, 3.1497249253220616e-11, -1.5229928429505435e-11, 4.695133171139787e-11, -3.5016434196677437e-12, 8.45694625439819e-11, 5.832117011550508e-10, -6.311000610992323e-10, -2.3519297620566704e-10, 4.5045411845023864e-10, 7.945244462348455e-11, -3.288802563616855e-11, 1.0483680590311906e-10, -2.9139690660429096e-11, 1.454418807611546e-10, -1.0044187703783791e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.326583370404478e-11, -5.857025975330998e-11, -5.6057491981675867e-11, -5.793499013861947e-11, 8.06610334080915e-11, -8.09267097778843e-11, -6.993761125784204e-11, -5.5391025099993385e-11, 9.468581474436633e-11, 4.9177995009586084e-11, -1.1373102459799611e-10, -1.183109166191798e-10, -1.2488743372784938e-10, 1.6414536396780477e-10, -1.531944571198096e-10, -1.3718681746155426e-10, -1.0394352045750566e-10, 1.8813395286088053e-10, 7.604805674077397e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [9.862710648178563e-11, -1.2418510664247151e-11, -1.492428403082613e-11, 2.8010260777477924e-11, -1.8339996188387886e-11, 3.4849456653773814e-11, -1.4390488800586354e-10, -8.134837248263693e-11, -7.990075268082819e-11, 3.296629635940462e-11, 1.9945045615088475e-10, -1.1662115717570032e-11, -3.594902153736257e-11, 5.129807689741028e-11, -3.601752229798194e-11, 7.136669033513954e-11, -2.903994822389677e-10, -1.7070611590952467e-10, -1.560600537686696e-10, 5.7556626131827215e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.9902415533154e-11, 1.2171774699254456e-10, -9.514677934419069e-11, 9.658140953661132e-11, -8.371414672581068e-11, 2.6949775744355975e-11, 1.5085710458606627e-11, 3.384981184240132e-11, -2.2629254026185208e-10, 5.6706639384174196e-11, -1.0237544145752508e-10, 2.449291880424198e-10, -1.8777968069372264e-10, 1.9627277580980262e-10, -1.739077770679387e-10, 5.1288528979398507e-11, 3.229350120648178e-11, 7.244449484744564e-11, -4.670692721475689e-10, 1.0150724705226821e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [1.3717249558453659e-11, -8.233080883712773e-12, 1.1441958491786863e-11, -4.492073379935846e-12, -1.425926043907566e-11, 1.2031264873257896e-11, 4.862776847858186e-12, 1.3626877404249171e-11, -1.9267143436252354e-11, -1.4142353954582632e-11, 2.559241707444926e-11, -1.4544032644892013e-11, 2.4815038912606724e-11, -8.06343880555005e-12, -2.8480662273011603e-11, 2.5471846853974967e-11, 1.0690115459510707e-11, 2.646283192575538e-11, -3.663969128098188e-11, -3.03128633305505e-11, 8.344436253082677e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.9091839220664042e-11, -5.728095775481279e-11, 6.731926127656607e-11, 1.460609411196856e-11, 9.92494975093905e-12, -2.531053144849693e-11, 1.4667156378322943e-11, 2.9780844457150124e-11, 6.603428914786491e-11, 5.638334243940335e-11, -3.9732772627587565e-11, -1.247155712036374e-10, 1.4207435228286158e-10, 2.542122068405206e-11, 1.1010525824417527e-11, -5.3373305775039626e-11, 3.076405796775816e-11, 6.111711137180009e-11, 1.291915463497162e-10, 1.1351120043912033e-10, -9.046097204645775e-13] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-2.3540502880337044e-11, -6.037059741004214e-12, 3.431011030841091e-11, -1.1024625656830267e-11, -1.8921531008686543e-12, -2.5118795932144167e-12, 6.114664330425512e-12, -3.802647086104116e-11, -2.3561264050897535e-11, -2.9985569582891e-11, -5.005607039976212e-11, -4.8133386165716274e-11, -1.1316281245399296e-11, 7.204770113844461e-11, -2.159050715988542e-11, -4.3933745530466695e-12, -4.0708547643930615e-12, 1.2525314119216091e-11, -6.982658895537952e-11, -4.499667305424282e-11, -5.851641393661566e-11, -1.0106493419925755e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-5.278222303672919e-12, -1.5166279343503675e-10, 7.124256740098645e-11, 6.428879650854924e-11, -7.430722703816173e-11, -2.664546361330622e-11, 6.793454687681333e-12, 2.5847768370113045e-11, -3.49504869490147e-11, -3.7260861063259654e-11, 1.4300649553433686e-10, -8.981815291519979e-12, -3.098122869360509e-10, 1.42733602714884e-10, 1.2162093554479725e-10, -1.511695213451958e-10, -5.316047602121898e-11, 1.9744206269933784e-11, 5.413225423467338e-11, -7.139111524168129e-11, -7.257749956579573e-11, 2.958131517516449e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [7.719602734823638e-12, 1.0369061165249605e-10, 4.636491190979086e-11, -1.2808543115028215e-10, -1.8147872093976503e-10, -6.407141484032763e-11, 9.584888438496364e-11, 4.4257264519842465e-11, 5.671907388205e-11, -2.4306112678118552e-12, -1.1112599729301564e-10, 7.163380999486435e-12, 2.153950351413414e-10, 9.562817204766816e-11, -2.4977819812477264e-10, -3.6590352969767537e-10, -1.239979230405197e-10, 1.9432211395553622e-10, 1.0446776776973365e-10, 1.1020695467323094e-10, -1.1478373806994568e-11, -2.2205759453441942e-10, 1.0472289702079252e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.4213964994478374e-11, -2.81830114801096e-11, 1.6342482922482304e-13, -9.339862216961592e-11, -2.2469359706178693e-11, -1.9400037132299985e-12, -2.0355606089594858e-11, 6.495071147583076e-11, -3.945199722465986e-11, 3.888356303605178e-11, -1.9537371720446117e-11, 7.373257560061575e-11, -6.382105954827466e-11, -3.990363595107738e-12, -1.8050416716874906e-10, -4.480260606953834e-11, -2.173261570703744e-12, -4.0273895329789866e-11, 1.2462342269259352e-10, -8.116984862027721e-11, 7.669220813966149e-11, -4.1438075193411805e-11, -2.0050183735520477e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1328715743275097e-12, -7.156497616733759e-13, -2.813105304255714e-11, -7.687739334016896e-12, 4.55695481349494e-11, -1.9063195466628713e-11, -1.3873235893413494e-11, 2.627564832380358e-11, 8.562039965909207e-13, -5.769273947464626e-12, -7.189493445025619e-11, -2.7292834658965148e-11, -1.564415263999308e-12, 4.331646152877511e-12, -5.882005993385064e-11, -1.3740897308878175e-11, 9.043277238163228e-11, -3.637545820112109e-11, -2.8659963291488566e-11, 6.061018353875625e-11, 4.189981694935341e-13, -1.4456991159761401e-11, -1.363206214577417e-10, -5.883959985908405e-11] QuasiNewtonMethods.optimum(state) .- 1 = [6.580158640190348e-11, -4.452216373351803e-11, 6.642042471582954e-11, -5.407529979351011e-11, 4.572275891234767e-11, 1.1232348384737634e-11, 7.123368561678944e-11, 1.2290168882600483e-12, -8.12616640644137e-12, -5.753952869724799e-12, 8.032818854530888e-11, 2.404432208891194e-11, 1.2201217813867515e-10, -9.655565236244001e-11, 1.2832979123800214e-10, -1.0938627781342802e-10, 9.150391555579063e-11, 2.6531887797887066e-11, 1.4130829839587022e-10, -1.0015988038958312e-11, -1.2280287897681319e-11, -1.3640422125149598e-11, 1.6642820455103902e-10, 5.361577848361776e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m10.3s Method ambiguity | 1 1 6.5s 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 6.1s Compat bounds | 3 1 4 12.0s 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 11.3s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 58.2s RNG of the outermost testset: Random.Xoshiro(0xce06d7a0f5415d15, 0xcc37319a9774ffa2, 0x97d5b119ba2c78c1, 0x3d4a591eab2eb501, 0xd6e151c80cc5aac7) 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 270.48s ERROR: LoadError: Package QuasiNewtonMethods errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3247 [3] Cmd(cmd::Cmd) @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3110 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [7] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [8] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:326 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:355 [12] _start() @ Base ./client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 497.93s: package has test failures