Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2207 (8c4818189c*) started at 2026-05-17T18:11:27.285 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.15s ################################################################################ # 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 To see why use `status --outdated -m` Installation completed after 5.05s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 6.8 s ✓ StaticArrayInterface 1.5 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.8 s ✓ LayoutPointers 1.6 s ✓ CloseOpenIntervals 17.4 s ✓ VectorizationBase 2.5 s ✓ StrideArraysCore 4.1 s ✓ SLEEFPirates 4.5 s ✓ VectorizedRNG 40.4 s ✓ LoopVectorization 4.5 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 42.9 s ✓ VectorizedStatistics 14.1 s ✓ QuasiNewtonMethods 15.2 s ✓ Octavian 16.4 s ✓ StrideArrays 14 dependencies successfully precompiled in 174 seconds. 56 already precompiled. Precompilation completed after 200.36s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_Eqb8uQ/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_Eqb8uQ/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 = [5.1426196634452026e-11, 9.039280435274577e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.3800094400551188e-10, -2.759399375662497e-10] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-4.519717933249012e-12, -8.75854944126786e-12, -4.765265959605358e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.76099151822018e-12, -7.517764188946785e-12, -8.801626094623316e-12] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [3.2640556923979602e-12, 2.333511162078139e-11, 7.638334409421077e-14, 4.8616666248335605e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5866197244918112e-10, -9.075373785805141e-11, -3.03618796770877e-10, -1.9257340166944914e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-7.241984789629896e-13, 3.532729664357248e-13, -2.0659030042224913e-12, 1.5578649481540197e-12, 1.397326698793222e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-6.416644993123555e-12, -9.346634577411805e-12, -1.3848922009174203e-11, -1.9006463070070367e-11, -1.6787682355356992e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [1.3221868044865914e-11, -1.6697754290362354e-11, 2.0482504581309513e-11, 2.8357094450370823e-11, -3.297462303208931e-11, 3.8820724412858e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.191535924429445e-11, -6.098110905128351e-11, -6.400890928404124e-11, -6.975831023936507e-11, -1.3138545806867796e-10, -1.2399248294769905e-10] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-2.6366353544915455e-11, 7.294786996681069e-11, 3.383915370136492e-11, -5.102263056500078e-11, 1.498825508150503e-10, 7.099232313123593e-11, 5.74429392941056e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-2.418332201159501e-11, -2.980360402915494e-11, -3.277333959772477e-11, -4.944999965061925e-11, -6.528544371775524e-11, -6.571254651532854e-11, 1.5118573060135532e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [1.277067340765825e-11, 5.340883291182763e-11, 2.248645714075792e-12, -1.6900925103868758e-12, 2.004107990671855e-11, 1.0289502583304966e-10, 8.614886581881365e-12, -6.095235427494572e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-8.882017343836424e-11, -1.0610845535552471e-11, -2.1058599308787507e-11, 1.0419309859344139e-10, -1.6929890822581228e-10, -2.859701364599232e-11, -4.564670863516085e-11, 2.09380734972342e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [-2.955469202703398e-11, -4.202649339646314e-11, -1.0235667868840892e-10, 4.7839510131097995e-11, -5.567446503818019e-11, -8.446721100341392e-11, -2.1100754477032524e-10, 8.751932512041094e-11, -7.2370998083215454e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-1.0538014905137061e-11, -2.8386593076135114e-10, -1.6225221166621395e-10, 5.411093795260058e-11, -2.647337904448932e-11, -5.841837014131102e-10, -3.349078792069804e-10, 1.1582734771309333e-10, 6.205702618444775e-12] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [-4.694655775239198e-11, -2.4036439505437102e-11, 5.4722448794564116e-11, -2.5198176878404865e-11, -1.5903722783150442e-11, -9.400480394106125e-11, -4.6187609292758225e-11, 1.167514973587913e-10, -5.340183850677249e-11, -3.5153213673311257e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.04887662391684e-10, -9.309164550330706e-11, 7.85524978397234e-11, -1.4588330543574557e-11, -2.3701063334158334e-10, -4.1916381476880815e-10, -1.8153012426580517e-10, 1.6354806398055644e-10, -3.1301738978584126e-11, -4.972082745524631e-10] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [1.9591084310377482e-10, 6.830758181308738e-11, 1.8074741703344444e-10, 2.286124622941088e-10, 1.9489365676861325e-10, 3.906512890949898e-10, 1.3137357868231447e-10, 3.819118354897455e-10, 4.5445114338349413e-10, 3.913180890435797e-10, -8.092371217571781e-11] QuasiNewtonMethods.optimum(state) .- 1 = [9.484590890451727e-11, 6.323763734883414e-11, -4.775535522583141e-11, -5.939582159442125e-12, -3.471112286490552e-12, 1.942650484920705e-10, 1.1477130357206988e-10, -1.101617685961287e-10, 7.084999253947899e-12, -1.0057510380079293e-12, 8.61377635885674e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-5.670108826905107e-11, 2.460431858253287e-11, 3.182210051022594e-11, 4.13089562556479e-11, 6.773515082159065e-11, 4.119105057043271e-11, -1.0606815425973082e-10, 4.114264484655905e-11, 6.854095069286359e-11, 7.811351565578661e-11, 1.314617303904697e-10, 9.564304903619814e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.4970470136054246e-11, -2.9497515541265784e-12, -5.5952464883546327e-11, -2.8022695275353726e-11, -7.546963054494427e-11, -4.3924419657059843e-11, -4.8550496956067946e-11, -8.08464406532039e-12, -1.1327372373415301e-10, -4.4043213520694735e-11, -1.5012668885816538e-10, -9.172884674057968e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-2.6995183866063144e-11, 8.219602776193824e-11, 5.12325737389574e-11, -3.067623932651031e-11, 4.007905118896815e-11, -6.67575994484082e-11, -5.776423783743212e-11, 1.5757439797425832e-10, 9.273093404260635e-11, -5.53139756220844e-11, 8.245670812812023e-11, -1.3902468065651874e-10, 9.64339719189411e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5175549705759295e-10, 3.750821875314614e-11, 5.1061155303955275e-11, -6.125366880382899e-11, 9.366574182934073e-11, -1.4265300052329621e-10, -2.9465585527077565e-10, 5.984190920571564e-11, 1.1320699933037304e-10, -1.1589551540680532e-10, 1.9774581971887528e-10, -2.758039352457331e-10, -2.0715984483388183e-11] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [4.503952766299335e-11, 9.058775951586995e-11, 1.0091594226935285e-10, 2.1891377599558837e-11, 3.2412073025511745e-11, 1.0400680316990929e-10, 2.3701485218907692e-11, 9.808265311050945e-11, 1.7581380795661516e-10, 1.970115182103882e-10, 4.509415063580491e-11, 5.785527612545138e-11, 2.0891377516818466e-10, 4.642486395312062e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.1817014033965734e-10, 9.016121182980896e-11, 1.974735930332372e-10, -9.007761203605469e-11, -3.264433168226333e-11, -1.4138235027161272e-10, -1.3256895581292838e-10, 2.4138291365716213e-10, 1.848514674662738e-10, 4.0803471712536066e-10, -1.9353896263396564e-10, -6.69518884777176e-11, -2.9027236170264814e-10, -2.632436491012413e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-2.485900374438188e-11, 4.1416869933641465e-11, 5.5113913433046946e-11, 1.43248968242915e-10, 3.7199132663090495e-11, -5.984868156616585e-11, -1.4456302821486133e-10, -4.612732418252108e-11, 8.074496626875316e-11, 1.1754153206311457e-10, 2.8361002435417504e-10, 6.483702463810914e-11, -1.1303036284715517e-10, -2.8822932929273293e-10, 2.3216983890961274e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.276978605664226e-11, -1.4231682499143972e-10, -8.430656173175066e-11, 4.572897616128557e-11, -6.425315834945877e-11, 4.5043524465882e-11, -9.438805292916186e-11, -4.962708022304696e-11, -2.7669533331220464e-10, -1.7308487976208653e-10, 9.075629137100805e-11, -1.437941987703084e-10, 9.658274180424087e-11, -1.8297463544314496e-10, -3.0591196242824026e-11] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [8.848100030434125e-11, -2.565674339649604e-10, 8.903922044112278e-11, -4.4333092752424363e-11, -2.3780755142865928e-11, -1.4050061114545542e-10, 9.483525076348087e-12, -1.197133503438863e-10, 1.8250911892891963e-10, -5.37040745207662e-10, 1.8255730260818837e-10, -8.835365772341675e-11, -4.7515547052512375e-11, -2.729816372948335e-10, 9.181100324440195e-12, -2.4078516958070395e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.465561005886684e-11, -9.823253321883385e-13, -2.777833518763373e-11, -1.0550449403012863e-11, -2.546629573885184e-11, 3.997913111675189e-12, 4.8261394880455555e-12, 8.803402451462716e-12, 3.063238551703762e-11, -2.733258064324673e-12, -5.640710121213033e-11, -2.065980719834215e-11, -5.2138404704749064e-11, 6.221023696184602e-12, 8.586686917055886e-12, 1.8320456263154483e-11] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [3.351563471198915e-11, -7.532308110569375e-12, -5.626832333405218e-12, 5.5921045571949435e-11, 3.079780874770677e-11, 1.497468815614411e-11, 1.3655743202889425e-13, -4.5202175336100936e-11, 7.685563296888631e-11, -1.5383472273811094e-11, -1.5977219547380628e-11, 1.134790039714062e-10, 6.057843116025197e-11, 3.22564197574593e-11, -2.2797319587652964e-12, -8.669120976634304e-11, -1.5736301151036969e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-8.55909787489395e-11, 2.624078732083035e-11, 9.858291960540555e-11, -1.1458278770248853e-11, -7.5229045215508e-11, 2.0774715281390854e-11, 2.955080624644779e-11, 7.09574621282627e-11, -1.7299128796111063e-10, 4.5752068800197776e-11, 1.8370305276960153e-10, -2.194144865796943e-11, -1.4938361658778376e-10, 4.084110827307086e-11, 6.049649670103463e-11, 1.4406387194298986e-10, -1.6480150577535824e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [5.329847674317989e-11, -3.292999206649938e-11, -3.4842906337928525e-11, -1.1479706074624119e-13, 1.0680278883512528e-10, -4.3065218058302435e-11, 2.0090151764406983e-11, -2.6276758546828205e-12, -2.769229290322528e-12, 1.0184719734240844e-10, -6.682487896370048e-11, -6.635236804442002e-11, -3.273936677317124e-12, 2.056390613347503e-10, -8.553346919626392e-11, 4.4185322067846755e-11, -4.215627846804182e-12, -7.675748925350945e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-9.958700530887654e-13, -1.3316792113471365e-11, -4.5097481304878784e-11, 2.9829472225628706e-11, 1.886046874233216e-12, 1.1604273097987061e-11, 4.250799712224307e-11, -1.0502043679139206e-11, -5.2081894352795643e-11, -2.891353823031295e-12, -2.27812213537959e-11, -8.330414136281661e-11, 5.844813522060122e-11, 5.757394561101137e-12, 2.5795809932560587e-11, 8.8828278066444e-11, -2.5764834710173545e-11, -1.0360412527887775e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [1.5965739841306004e-10, 1.457300946583473e-11, 6.299161192657721e-11, 5.5555560152242833e-11, -1.222578704940247e-10, -5.342171149891328e-11, -1.0422929186404417e-10, 1.1117906595359273e-10, -3.8960834558565693e-11, 3.2828628704351104e-10, 2.166911095002888e-11, 1.1910894492928037e-10, 1.0064327149450492e-10, -2.5799373748469634e-10, -1.2549006278561592e-10, -2.0001922340640022e-10, 2.2714763403541838e-10, -7.772371635184072e-11, -3.8250735912015443e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2975864827069472e-10, 4.2614578532607084e-11, 6.229661231316186e-11, -1.3850476321408678e-11, 7.153677650251211e-11, -9.839329351279957e-11, 6.89774903861462e-11, 3.643574331135824e-11, 1.7894175030619408e-10, -2.5615820575808357e-10, 8.536082951593471e-11, 1.2775402957743154e-10, -1.713795771962623e-11, 1.4313794594045248e-10, -1.9947055118763046e-10, 1.4281509308489149e-10, 7.341838248464683e-11, 3.6879255205235495e-10, -1.4907630685456752e-11] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [3.4766434175992345e-10, -5.515498058272783e-10, 1.2317413755624784e-10, -1.3724243963508798e-11, -1.7801538021444685e-11, 8.408140850235668e-11, 4.746969484159536e-10, 6.816609499082915e-10, -1.3646483942864052e-10, 3.854760954880021e-11, 6.93210600033467e-10, -1.1061384030952581e-9, 2.495426087989472e-10, -2.1369239711077626e-11, -4.312372681170018e-11, 1.6627432763982597e-10, 9.510088272435269e-10, 1.3728282954872384e-9, -2.659795717008251e-10, 7.709033411629207e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-6.564848664680767e-11, -8.637424109281255e-12, 2.7680080449954403e-12, 3.7131187013983435e-11, 5.40969491424903e-11, -6.408651387346254e-12, 3.443578755479848e-11, -1.0121459226297702e-11, 2.7969626614776644e-11, -5.90814064338474e-11, -1.320186182596217e-10, -1.5882184456472714e-11, 5.5710991375690355e-12, 8.024225728320289e-11, 1.0921952231512932e-10, -1.2022716155968283e-11, 6.835043642183791e-11, -1.962263684873733e-11, 4.937783515401861e-11, -1.1292833335119212e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [5.155991189553788e-10, 7.627558584744065e-10, -1.8441033144966923e-9, -6.258168427919486e-10, 4.5485326616301336e-10, 2.9563507197849503e-10, 7.165490423233223e-11, -6.800666696449298e-10, 4.4241721397497713e-10, -1.1581939851623702e-9, 1.0346834500296609e-9, 1.5354022497859887e-9, -3.7003915487332506e-9, -1.2573112551095278e-9, 9.221101660017439e-10, 5.933977753613817e-10, 1.407713945411615e-10, -1.3586184399727586e-9, 8.8275897702772e-10, -2.324661796393457e-9, -1.1188383552962478e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.1761928077098673e-11, 2.2688739775844624e-11, 6.915468198087638e-11, 8.847367283237872e-12, 6.534262020352344e-11, -4.753297755399899e-11, -8.596878764421945e-11, 5.05167019326791e-11, -8.385292460388882e-12, 3.4819480632108935e-11, 1.0719847232110169e-10, 4.3265613314247275e-11, 1.3639356311045958e-10, 1.907185520622079e-11, 1.297575380476701e-10, -9.598977168678857e-11, -1.7089207826614938e-10, 1.008906291843914e-10, -1.371947000450291e-11, 7.34110550126843e-11, 5.247580148193265e-12] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [8.448752808476456e-11, 7.581202332573866e-11, -7.65242313960357e-11, 5.593281393601046e-11, 6.549027986579858e-11, -1.2697376483572498e-10, -1.2935541526815086e-10, -1.9219070779286085e-11, -1.4852119534225494e-10, -5.0441095744702125e-11, 1.8537171797561314e-11, 1.6196910479493454e-10, 1.483406730784509e-10, -1.50031542744955e-10, 1.0558265373106224e-10, 1.3108492069591193e-10, -2.5773627676528577e-10, -2.570496038245551e-10, -3.706379647638869e-11, -3.039647422653502e-10, -1.088206191823815e-10, 3.4429792350465505e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-6.027878196590564e-11, 6.028801902147052e-10, 2.398274911996623e-10, 1.3502621243333124e-10, -4.963713884365006e-10, -4.515765539281347e-11, 8.878076052099004e-11, 6.577316469247307e-11, -3.169884355003205e-10, 1.187030473914774e-10, -3.3111513531025594e-11, -1.4316625662758042e-10, 1.2186289755078406e-9, 4.78427519823299e-10, 2.569897628035278e-10, -9.863899697037937e-10, -1.0346046241949125e-10, 1.5882073434170252e-10, 1.4031531492264548e-10, -6.428968468696894e-10, 2.3580892793972907e-10, -6.86984913400579e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [4.686251386942786e-11, 1.0307621423066848e-10, 2.1297630325989303e-11, -2.6911473050006407e-11, 8.611045210216162e-11, -5.179745521388668e-12, -1.9329982059446138e-11, 8.369549497899698e-11, -1.0124334703931481e-10, -1.7846946143151854e-11, -4.746980586389782e-12, 9.873213357991517e-11, 2.1559531937498377e-10, 3.7616576520349554e-11, -4.848021983860917e-11, 1.7949774999692636e-10, -3.3332225868321075e-12, -5.072497977209878e-11, 1.6722423445969525e-10, -2.1338619760058464e-10, -3.0551450258542445e-11, -1.6433077121291717e-11, 5.030686978102494e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-5.950129278176064e-11, -4.200018111077952e-11, 2.3899326961895895e-11, -6.702605137576256e-11, 5.815126158381645e-12, -5.284217508005895e-12, 3.387667923959725e-11, 3.4883873567537194e-11, 1.4695800132358272e-11, -2.174538327182063e-11, -1.0611067580157396e-11, -1.2378964520110003e-10, -8.422385011641609e-11, 5.262279501039302e-11, -1.3579826152465557e-10, 1.3849366098384053e-11, -9.945488876894615e-12, 6.227263149582996e-11, 7.419398428964996e-11, 3.3802738386157216e-11, -4.399169917235213e-11, -2.9379276789143205e-11, 2.715694336075103e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1761602802806692e-10, 4.360178884610377e-11, -1.2731038445679133e-11, 3.573941143031334e-11, 1.6582202277959368e-10, 2.916822339216196e-11, -1.1912226760557587e-10, 1.8874990459494256e-10, 5.758149512757882e-11, -2.9372282384088066e-11, 1.6024559457150644e-10, -1.4227830025248522e-10, -2.141575805580942e-10, 1.033406693551342e-10, -1.09007247672821e-11, 6.732370216866457e-11, 3.348876731479322e-10, 5.7201354763947165e-11, -2.609660265662228e-10, 3.829425665458075e-10, 1.1301870550539661e-10, -6.727995938149434e-11, 3.1522429111419115e-10, -2.7411228842311175e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-8.716261046259888e-11, 1.9990897826005494e-11, -2.7318702855438914e-11, -6.6857408498322e-11, -3.364808431882693e-11, -8.614964297493088e-11, 2.2670754162845697e-11, 8.309553045648954e-11, -8.248823846201958e-11, -4.523204033546335e-11, 1.1104073216472443e-10, 5.126410407285675e-11, -1.7157897325148497e-10, 4.7269743674860365e-11, -5.5108140273318895e-11, -1.3351320049537208e-10, -7.149780767434777e-11, -1.7812651353921183e-10, 4.3936410065725795e-11, 1.7500378923784865e-10, -1.5980805567750167e-10, -9.1563534532213e-11, 2.2271273714125073e-10, 1.0994916088691298e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m27.6s Method ambiguity | 1 1 9.5s 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 6.7s Compat bounds | 3 1 4 11.7s 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 11.0s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.2s Persistent tasks | 1 1 59.6s RNG of the outermost testset: Random.Xoshiro(0x6a5a264f38fec647, 0x61da7334fd47ddd4, 0x557e412334398f46, 0x4ace458483ad19ce, 0x4704ac3dcfb1e0c3) 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 290.2s 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 555.96s: package has test failures