Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2386 (9e0b0ca1f2*) started at 2026-06-16T19:39:44.042 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 11.34s ################################################################################ # 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 v1.5.3+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 To see why use `status --outdated -m` Installation completed after 3.55s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 2.5 s ✓ StaticArrayInterface 0.9 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.1 s ✓ LayoutPointers 1.0 s ✓ CloseOpenIntervals 14.2 s ✓ VectorizationBase 1.6 s ✓ StrideArraysCore 2.8 s ✓ SLEEFPirates 3.2 s ✓ VectorizedRNG 31.1 s ✓ LoopVectorization 3.3 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 33.7 s ✓ VectorizedStatistics 10.7 s ✓ QuasiNewtonMethods 11.6 s ✓ Octavian 16.3 s ✓ StrideArrays 14 dependencies successfully precompiled in 135 seconds. 56 already precompiled. Precompilation completed after 154.54s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_Y2C68l/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_Y2C68l/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 v1.5.3+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 = [4.60840254845607e-11, 8.735900891565507e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.2587154369091422e-10, 4.396829567099303e-10] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-4.456435220845378e-12, -8.562262010514132e-12, 1.240785252321075e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5740853065437932e-11, -3.489530886469083e-11, -1.0345346801443611e-10] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [8.852918398360998e-13, 2.6492585902815335e-11, 5.047295914550887e-12, 5.297851046748292e-11] QuasiNewtonMethods.optimum(state) .- 1 = [4.370726003344316e-12, 5.919709167301335e-13, 8.524292383071952e-12, 1.5711876244495215e-12] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [3.8451242190262747e-11, 1.2820988715134263e-10, 7.711853378111755e-11, 2.4395818698508265e-10, 7.267397794663566e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-8.684086783006251e-11, 1.8752666086641057e-10, -1.7767276538904753e-10, 3.985818342044922e-10, 5.810441017217727e-11] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0798384408872153e-10, 1.4417356197782283e-11, 4.20328216677035e-11, -2.1624591006741412e-10, 2.9157787295730486e-11, 8.212786006822625e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.3445690661437766e-11, -1.376054825641404e-11, 6.858291712319442e-12, -6.760159099172824e-11, -2.3707258378635743e-11, 1.4845902285287593e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [9.7479802008138e-12, -1.1542322653212977e-11, -3.1876279393827645e-11, 1.673461369477991e-11, -1.678002181648708e-11, -6.564759846838797e-11, -1.838518226549013e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.109024314720045e-12, 5.042144479716626e-11, 2.1758816970418593e-11, 3.977040918812236e-12, 9.671508038877619e-11, 3.95188326507423e-11, 3.865796571744795e-13] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [2.5579094398153757e-11, -1.6341594744062604e-11, 1.1769496488511777e-10, -3.318945118735428e-11, 6.310663103192837e-11, -3.1019298241119486e-11, 2.407811727778153e-10, -6.67780275520613e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.958833261208383e-12, 6.178169087434071e-12, -3.0666580386196074e-12, 1.0948797424248369e-11, -7.606137941706947e-12, 1.1569856184223681e-11, -5.907940803240308e-12, 2.350675210038844e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-2.2876811556216126e-11, -7.561251624821352e-11, 2.8957281017483183e-11, -1.8162582549052786e-11, -4.5449755070592346e-11, -1.5209689063766518e-10, 5.0486503866409294e-11, -3.6052494323257633e-11, -7.85267406655521e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.799039192235568e-11, 1.9367463188757483e-10, 7.730038831255115e-11, 1.0873968392388633e-10, -1.6540557812305678e-10, 3.6997604979660537e-10, 1.6801449120862344e-10, 2.2085600015486762e-10, -1.9584334154387761e-13] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [3.6988190288411715e-12, 1.9690915564751776e-12, -7.262412893282999e-12, -1.0558776075697551e-11, -6.963318810448982e-12, 7.966072246290423e-12, 3.9330760870370796e-12, -1.4254264435464847e-11, -2.2110313580014918e-11, -1.3682166510875504e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.9230173009532336e-11, -1.1642464770034167e-11, -1.3100631690576847e-11, -8.082312596968677e-12, 1.2065681787021276e-11, 4.069478087842526e-11, -2.2393975562806645e-11, -2.8130386908742366e-11, -1.6575074646141275e-11, 2.3946622462744926e-11] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-1.0005918316124962e-10, -9.240697096402073e-11, 5.579847695003082e-11, -2.0044743642699814e-11, 5.125821989082624e-10, -2.0598123207093977e-10, -1.651653258605279e-10, 1.0983702836142584e-10, -4.9336423835200094e-11, 1.019948125957626e-9, 1.751709888253572e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-7.890355036010988e-12, -1.0336176359260207e-11, 6.97129021176579e-11, -3.839351059298224e-11, 1.6741497077532586e-11, -1.3622658556755596e-11, -2.2837065571934545e-11, 1.36972877484709e-10, -7.816636227175877e-11, 3.31470406678136e-11, 2.3427926265640053e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-1.4728440689282252e-11, -4.1318060084449826e-12, -6.481104541933291e-11, 1.3985701485808022e-11, 6.016565023969633e-11, -1.0250944537659734e-10, -3.476641197153185e-11, -1.2295053863908834e-11, -1.2250056524720776e-10, 2.6995294888365606e-11, 1.2459011600185477e-10, -1.935710480793773e-10] QuasiNewtonMethods.optimum(state) .- 1 = [4.4644732355436645e-11, 1.134496940835561e-10, 2.25226504113607e-11, 6.1164406872649124e-12, 1.6177081896273648e-10, -6.354916592954396e-12, 9.215805896189977e-11, 2.3640378543632323e-10, 6.062617075031085e-11, 1.358091417102969e-11, 3.253162184080338e-10, -3.3916203179273907e-12] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-3.695889150279186e-10, 3.932023595609735e-10, 3.934845782538332e-10, -1.051521092421126e-10, -3.3950509070734824e-11, -7.266620638546328e-11, -7.185141370769088e-10, 8.093281600451974e-10, 7.758316211692318e-10, -2.2476520644687525e-10, -6.689204745669031e-11, -1.6972756533562006e-10, 1.0728085086952888e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.4195978554075737e-11, -2.7772784072510603e-11, -1.333155807969888e-12, 1.4233503264904357e-11, 6.856959444689892e-12, 1.0767164937419693e-11, -4.94895235902959e-11, -5.649947176777914e-11, -2.7245983247325967e-12, 3.1244340448211005e-11, 1.3768985951401191e-11, 2.212718896998922e-11, 8.323119971009874e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [1.392836956881638e-10, 3.781019941584418e-11, -8.365708126234495e-11, -2.2553714451589713e-10, 1.93265403680698e-11, 3.2521096926529935e-11, 1.3615930605226367e-10, 2.750182304112059e-10, 6.597855595202873e-11, -1.8752677188871303e-10, -4.416691457009847e-10, 2.9864777317811786e-11, 8.254708028232471e-11, 2.631681539355668e-10] QuasiNewtonMethods.optimum(state) .- 1 = [9.556133662158572e-12, 1.1402656596715133e-11, -1.6306733741089374e-11, 3.5058622671613193e-12, -3.091304989766286e-12, 6.116618322948852e-11, -2.839395385478838e-12, 2.035394075505792e-11, 2.406763677242907e-11, -3.294897688022047e-11, 8.099743098455292e-12, -3.0482283364108298e-12, 1.2885759126390894e-10, -4.355515947906952e-12] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [8.664824413529004e-11, -2.0119683696862012e-11, -1.2086442957581767e-11, -6.214417869188082e-11, -2.811595400942224e-11, 1.0119327598090422e-10, 1.6373569167171809e-12, 1.8375456711794413e-10, -4.199429692874901e-11, -2.758682171588589e-11, -1.2301326623997966e-10, -5.5533133647145405e-11, 2.1328783184060285e-10, 7.54885043363629e-12, 1.2959855411054377e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.5080271193189674e-11, 7.709721749904475e-11, -3.4897196243832695e-11, 1.0647704939970026e-11, -9.035328041306911e-12, -3.817013372042766e-11, -6.310552080890375e-11, -5.469091846066476e-11, 1.450044528894523e-10, -7.38372696318379e-11, 1.935118731921648e-11, -2.2833512858255745e-11, -7.569311843980131e-11, -1.2563006190902115e-10, -1.0316192344816955e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-5.4176885200263314e-11, 8.15472134263473e-11, -9.535150446993157e-12, 1.2069012456095152e-11, -4.569344902449757e-12, 1.049782483164563e-11, -4.7103765332678904e-11, -6.968514654204228e-11, -1.0784606541136554e-10, 1.6246448630852228e-10, -2.1680879314089907e-11, 2.3198110099542646e-11, -8.30091551051737e-12, 2.336864035612507e-11, -9.77264935642097e-11, -1.4333612075034807e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5809475950590013e-10, 3.808064974464287e-12, 3.315725471964015e-11, -7.536982149503046e-11, 1.019764273024748e-10, 5.007771974874231e-11, 6.454192735816378e-11, 2.6591395752006974e-11, -3.2179214848326865e-10, 8.237188708903886e-12, 6.631051263639165e-11, -1.5125456442888208e-10, 1.9838775067171355e-10, 9.802914036072252e-11, 1.337654431665669e-10, 5.556421989183491e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [1.506808011697558e-10, 7.491340880960706e-12, 1.7388890327652007e-10, 1.7346124536743446e-10, -2.7462587759430335e-11, -1.5831891353457195e-11, -3.943434467856832e-11, -7.820999403662654e-11, 3.228333156357621e-10, 2.128741627416275e-12, 3.702185225051835e-10, 3.7119485263303886e-10, -5.052880336364751e-11, -4.480615878321714e-11, -8.212819313513364e-11, -1.565997331809399e-10, 4.47020198635073e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.8449797245523314e-10, -2.2388457754374258e-10, 1.2981304919890135e-10, -1.534450344564675e-10, -4.2054526527834923e-10, -2.213411676166288e-10, -3.395289605023777e-10, -4.7727377605610855e-12, 3.696833950073142e-10, -4.522150431895966e-10, 2.5692803440335865e-10, -3.17699311302988e-10, -8.561281683583388e-10, -4.627446203997465e-10, -6.659273132925136e-10, -2.8268831719913123e-11, -3.231348522092503e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [5.699885008425554e-13, 2.5541124770711576e-11, 6.388001239088226e-12, -6.205014280169507e-11, -9.09501363111076e-11, -4.0076497676011513e-11, 3.4817260186059684e-11, -4.68114436102951e-12, -1.1359468921057214e-11, 1.1681766665105897e-12, 4.9051429584778816e-11, 1.2012835171049119e-11, -1.2146772476739898e-10, -1.8147217062391974e-10, -7.934652934693531e-11, 7.290235082280105e-11, -1.2184253606051243e-11, -1.9855561639303687e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.4052092822680606e-11, -3.9550585029246577e-11, -5.914502221315843e-11, 1.7894130621698423e-11, -5.1616821927780165e-11, 5.102163136427862e-11, 6.984635092521785e-12, -3.510247648108589e-11, -1.288692486056675e-10, 2.804001475453788e-11, -7.688227832147732e-11, -1.191310383674704e-10, 3.820077587590731e-11, -1.0688294693750322e-10, 1.0906742176075568e-10, -2.6922908347160046e-13, -7.58548779344892e-11, -2.5463475772369293e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-1.2915557512371834e-11, -1.794075998873268e-11, -2.0927781729795925e-10, 2.4730439918130287e-11, -1.692426199184638e-10, -5.71834801732507e-11, 1.819278061532259e-10, 7.423972547826452e-11, 1.1980949565781884e-10, -2.3509527657950002e-11, -4.442290979511654e-11, -4.1140824080798666e-10, 4.499978167871177e-11, -3.4661107317646156e-10, -1.190683107665791e-10, 3.4940117465964704e-10, 1.4329737396678865e-10, 2.3509727498094435e-10, 2.5841551121175144e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.4787283336991095e-11, -4.709443945927205e-11, 2.440314617047079e-11, 4.0061509665179074e-11, 1.5780710072021975e-12, 4.4120929132418496e-11, 1.6080958786801602e-10, -3.7654213080884347e-11, 3.746802867965471e-11, -5.090039500998955e-11, -9.425649150074378e-11, 4.7543302628128004e-11, 8.240430560135792e-11, 2.553290912032935e-12, 9.307887793852387e-11, 3.191535924429445e-10, -7.364520104857775e-11, 7.788480971271383e-11, -6.1459726197199416e-12] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [2.7924773604581787e-11, 1.0647394077523131e-10, 1.6190893070699985e-10, 2.90816259962412e-11, -4.398481578959945e-11, 4.626254934692042e-11, -1.5794299201843387e-10, -3.93796106834543e-11, -5.796430002646957e-11, -5.18797227400114e-11, 5.005063030694146e-11, 2.1514279247014656e-10, 3.2557267992672223e-10, 5.914579936927566e-11, -9.668876810309257e-11, 1.0090506208371153e-10, -3.1322833216052004e-10, -7.339517882343216e-11, -1.1438339164726585e-10, -1.1006784372824541e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.3413714583521141e-11, 1.5183432289234133e-10, 2.483788730245351e-10, 2.8544278052322625e-11, -1.68480784878966e-11, 2.4213075988654964e-11, -1.1203238337031962e-10, 8.565748110811455e-11, -4.5098369483298484e-11, 1.9052182054224431e-10, 3.079914101533632e-11, 2.917865948859344e-10, 4.995932556539628e-10, 6.338107816361571e-11, -4.05975253414681e-11, 4.2479575412812665e-11, -2.2430346469093365e-10, 1.6838597183266302e-10, -7.926681533376723e-11, 3.7605429881182317e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3689194222621381e-10, 2.4992630187625764e-10, -2.1607160505254797e-12, -4.7752135579059996e-11, -1.3138778953702968e-10, 8.664513551082109e-11, 4.8944626129809876e-11, 1.1149081657890747e-11, 1.2246537117732714e-10, -2.163991208448124e-11, -2.6696478361287745e-10, 4.960871713421966e-10, -1.1010969913627378e-11, -9.737199935244689e-11, -2.406873589322345e-10, 1.761051304782768e-10, 1.0600476052502472e-10, 2.337219306980387e-11, 2.4462165626459864e-10, -4.613720516744024e-11, 7.897460463368589e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3287237976555843e-10, 2.491939987692149e-11, -6.836353705352849e-11, 5.250089252228918e-11, -4.744205028828219e-12, -2.636080242979233e-11, -8.191192168993666e-11, 4.062750136313298e-12, -1.1973189106839754e-10, -1.2484457911909885e-12, -2.706932455964761e-10, 5.420663917732327e-11, -1.404156790840716e-10, 1.022886220169994e-10, -1.0217937607137628e-11, -4.667821684734008e-11, -1.6327406093807895e-10, 2.646549646101448e-12, -2.493260042868428e-10, 2.913669305826261e-12, -9.127143485443412e-13] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [-9.548473123288659e-12, -1.3472223336918887e-10, -2.1640578218296014e-11, 2.1055823751225944e-11, -1.6225010224246716e-10, 4.82200945839395e-11, 4.363109873395388e-11, 8.683698204947632e-11, 1.0609402245620458e-10, -2.4277246879478298e-11, 2.7186253248601133e-11, -2.3266943927069406e-11, -2.721194380939096e-10, -4.771749662069169e-11, 3.8934855339789465e-11, -3.1810643008611805e-10, 9.631540009991113e-11, 9.901990338789801e-11, 1.725737330815491e-10, 2.2263280108347772e-10, -3.3888669648263203e-11, 5.271139080775811e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.1534665423957904e-11, -5.487277299209836e-12, 2.3530510873115418e-11, 9.63125135200471e-11, -5.6590065966588554e-11, 2.418776290369351e-11, -5.993672225201863e-11, -3.5335845360862095e-11, -7.102995969177073e-11, -1.7775447780365994e-11, 3.745270760191488e-11, -1.1609924133182403e-10, -1.0467293698468438e-11, 5.00022245830678e-11, 1.9222801128648825e-10, -1.1190648407932713e-10, 4.643729845099642e-11, -1.261716287004333e-10, -6.987221912169161e-11, -1.43284495379703e-10, -3.057099018377585e-11, 7.622058539880072e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-1.8144596936053858e-11, -3.791966740607222e-12, -1.4419687666133996e-11, -2.5792146196579324e-11, -4.7323589491554685e-11, 2.4946489318722342e-11, 2.3361312884162544e-12, -6.887823644774471e-12, 2.968358892019296e-11, -6.659162110622674e-11, 3.297362383136715e-13, -3.548439320155694e-11, -7.002398660915787e-12, -2.766842310819584e-11, -5.322731144730142e-11, -9.534506517638874e-11, 4.931721697687408e-11, 6.766587290485404e-12, -1.2896239631743356e-11, 6.099321048225192e-11, -1.3501677553762192e-10, -1.049826892085548e-12, 4.8627768478581856e-14] QuasiNewtonMethods.optimum(state) .- 1 = [1.705369179205718e-11, 5.738742814287434e-11, 8.850831179074703e-11, -6.526001961049133e-12, -1.0748801848592393e-10, 8.750244973043664e-11, -8.507028415039031e-11, 1.497024726404561e-10, 3.168421081056749e-11, -1.0126399718757284e-10, -6.287648179892358e-11, 4.3969494711859625e-11, 1.258686488370131e-10, 1.8636647780567728e-10, -1.4836132322670892e-11, -2.2202939486959394e-10, 1.6653345369377348e-10, -1.727855636346476e-10, 2.8944890928528366e-10, 5.861378049587529e-11, -2.0765433816904988e-10, -1.1818601652890948e-10, 3.618660926463235e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [2.0463630789890885e-12, 8.706302345729e-11, -9.890122054656558e-11, -5.1803561440522117e-11, 6.424549781058886e-11, -3.259637004759952e-11, -5.288214310894546e-12, 4.910138962088695e-11, 2.230060580643567e-11, -3.0647262505567596e-11, 1.4331935638267623e-10, 1.9488854974269998e-11, 1.393662962811959e-11, 1.595239496055001e-10, -2.156497203031904e-10, -9.083955809785493e-11, 1.34526390027645e-10, -5.869271735292614e-11, -5.496048061104375e-12, 1.0110912107563763e-10, 3.549671667713028e-11, -6.443301447944805e-11, 2.8542324059799284e-10, 4.485944948839915e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.6173066198539345e-11, 3.643596535596316e-11, -2.3420487771375065e-11, 1.9511281479367426e-11, 1.3926193531688114e-11, -3.5002223341962235e-11, -3.3573699376177046e-11, -5.5363158502075294e-11, -1.553468464976504e-11, 1.4451773111545663e-11, 9.418132940197665e-11, 5.652145418366672e-12, 1.1356715567956144e-10, 7.227685117072724e-11, -4.6950221488373245e-11, 3.932476566603782e-11, 3.100697476554615e-11, -7.059475226611767e-11, -6.428213517040149e-11, -1.1008971512183052e-10, -3.195144149259477e-11, 3.055222741465968e-11, 1.8695800463319756e-10, 1.1742606886855356e-11] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m21.9s Method ambiguity | 1 1 9.1s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.3s Stale dependencies | 1 1 4.7s Compat bounds | 3 1 4 9.2s julia | 1 1 0.1s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") deps | 1 1 0.4s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras | 1 1 8.7s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m04.6s RNG of the outermost testset: Random.Xoshiro(0x38ed0ecd2155fda4, 0xc27bea247c83ff89, 0xf1110a7f790bc11e, 0xc79d20ad3b8f9498, 0xab01e6749509d1fd) 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 283.92s 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 469.88s: package has test failures