Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.3106 (9d314127b9*) started at 2026-09-03T19:45:31.246 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.12s ################################################################################ # 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 v7.30.1 [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 v1.3.0 ⌅ [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 v1.5.7+0 [4536629a] + OpenBLAS_jll v0.3.34+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 To see why use `status --outdated -m` Installation completed after 3.97s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.1 s ✓ StaticArrayInterface 1.3 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.3 s ✓ LayoutPointers 0.9 s ✓ CloseOpenIntervals 17.2 s ✓ VectorizationBase 2.1 s ✓ StrideArraysCore 2.9 s ✓ SLEEFPirates 3.5 s ✓ VectorizedRNG 35.7 s ✓ LoopVectorization 4.0 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 37.1 s ✓ VectorizedStatistics 13.3 s ✓ QuasiNewtonMethods 12.1 s ✓ Octavian 13.9 s ✓ StrideArrays 14 dependencies successfully precompiled in 149 seconds. 56 already precompiled. Precompilation completed after 162.85s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_xSxvbV/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_xSxvbV/Manifest.toml` [79e6a3ab] Adapt v4.7.0 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.30.1 [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 v1.3.0 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.10.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.5 [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 v1.12.0 [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 v1.5.7+0 [deac9b47] LibCURL_jll v8.21.0+0 [e37daf67] LibGit2_jll v1.9.7+0 [29816b5a] LibSSH2_jll v1.11.104+0 [14a3606d] MozillaCACerts_jll v2026.8.13 [4536629a] OpenBLAS_jll v0.3.34+0 [458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.48.0+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 v1.70.0+0 [3f19e933] p7zip_jll v17.8.2+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:2247 [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 = [4.270352960134005e-10, 8.435381282367871e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.7496004645067842e-12, -4.6767034689310094e-12] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [-1.3513634655737405e-12, -3.4361402612148595e-12, -4.562261679552648e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.518518809642046e-12, -6.5462080200973105e-12, -1.6534329461137531e-10] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [3.3770986007652937e-11, 8.778755500316038e-12, 7.306732996426035e-11, 1.2447376462887405e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.0851102762503615e-12, -6.616041048346233e-12, -1.3151368882802217e-11, -1.2124856674233797e-11] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-2.710522917226399e-10, 1.217155265464953e-10, -5.64630009414202e-10, 2.4408941534659334e-10, -2.540190280342358e-13] QuasiNewtonMethods.optimum(state) .- 1 = [-1.6635870458969748e-10, 1.1553136225472826e-10, -3.298017414721244e-10, 2.41797915023767e-10, 1.012869121908011e-9] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-4.706568468293426e-12, -9.43778388773353e-12, -3.88455934086096e-12, -9.691691893465304e-12, -1.812261452016628e-11, -8.163136833161388e-12] QuasiNewtonMethods.optimum(state) .- 1 = [5.0169202125971424e-11, -1.7992496381680212e-11, -4.548961207717639e-11, 1.010307393300991e-10, -3.387967684176374e-11, -9.416567525732944e-11] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-1.4242029777733478e-10, -4.933484731850513e-10, -3.862175024238468e-10, -3.052116337443067e-10, -9.912355380947702e-10, -7.87371834398698e-10, -2.0865587035956423e-10] QuasiNewtonMethods.optimum(state) .- 1 = [4.057199021190172e-11, -2.8571700561030866e-11, 5.024891613913951e-11, 8.08872968605101e-11, -6.003553210121026e-11, 9.895195773879095e-11, 2.540190280342358e-12] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [4.282352250584154e-12, -4.57451854174451e-11, -4.8211545866649885e-11, 7.368905485805044e-11, 9.552136859269922e-12, -9.354494956426151e-11, -9.870571027192909e-11, 1.5212120452190447e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-8.803913154054044e-11, 1.4816370352832564e-11, -1.3085865724349333e-11, 3.5556002586645263e-12, -1.631800250478932e-10, 3.3820279909946294e-11, -2.2328805471261148e-11, 2.414846100862178e-11] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [1.2057244092034125e-11, -4.412936682740565e-11, -6.967582066863542e-11, 1.6981083206246694e-11, 2.0644153053694936e-11, -8.949607721575603e-11, -1.3872047954777145e-10, 3.266786841038538e-11, 1.2130962900869235e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-7.497347187523928e-11, 9.728795546948277e-11, -3.692046668390958e-11, -5.682876391688296e-11, -1.5363443850446856e-10, 1.9478885171508864e-10, -6.985323430797052e-11, -1.116148284907581e-10, -1.0483502954627966e-11] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [6.779510286492041e-11, 1.3763878925487916e-11, -2.419486833105111e-11, 2.166333779030083e-11, -7.323941453307725e-11, 1.3858847403014352e-10, 2.6697755117766064e-11, -4.838340839086186e-11, 4.198952296974312e-11, -1.4847756357738717e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-6.931122342734852e-13, -1.3954393196513593e-12, -6.629474746944197e-12, 7.027267656667391e-12, -4.501732320250085e-12, -1.8377521726620216e-12, -2.6285640331025206e-12, -1.2876255617300103e-11, 1.492783674450493e-11, -8.622547120751278e-12] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [-2.3445245744824206e-10, 8.20474799212434e-11, 5.314215734131267e-11, -1.5293366573132516e-10, -5.05095965053215e-12, -4.453445390240063e-10, 1.7461276868857567e-10, 1.1287171197693624e-10, -3.159809081054732e-10, -1.288757989215128e-11, 1.3107737117934448e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.282618538629322e-13, -2.78563172528834e-10, -1.618161160621412e-11, -3.404865278611169e-11, 8.807243823127919e-11, 7.659872736098805e-12, -5.729268170995283e-10, -3.820777028096245e-11, -5.914158052178209e-11, 1.6574475125707977e-10, 2.528444120741824e-11] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-3.277189630779276e-11, 1.260638260447422e-10, 1.0002954020649213e-10, -3.0292435226897396e-12, 6.179123879235249e-11, -2.198202730951948e-10, -6.112788053513896e-11, 2.5059154751261303e-10, 2.048647917973767e-10, -7.256417688950023e-12, 1.1862599791356843e-10, -4.218633220531842e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-2.49922305073369e-12, 2.823741240831623e-12, -3.211209076425803e-11, -1.3728129744094986e-11, -2.3318569297714475e-11, 1.659694603972639e-11, -6.508460437260055e-12, 7.122302747575304e-12, -6.416023268229765e-11, -2.7447710770900358e-11, -4.426725652706409e-11, 3.2259306337323324e-11] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-2.911781926684398e-12, 3.099964729358362e-12, -1.7030821197749901e-13, -3.198552533945076e-13, -6.34980956704112e-12, -2.5723867480564877e-13, -6.005862474012247e-12, 6.139533326177116e-12, -4.987121826616203e-13, -6.744604874597826e-13, -1.2830070339475697e-11, -7.772671395400721e-13, -4.989342272665453e-13] QuasiNewtonMethods.optimum(state) .- 1 = [1.531974547219761e-11, -2.3682056315976752e-11, 1.2538858840116518e-11, -2.120614794876019e-11, -1.9314549959403848e-11, 1.4120260516392591e-11, 2.81927814427263e-11, -5.2215676227262975e-11, 2.5935475989058432e-11, -4.2755354812129553e-11, -3.75841580080305e-11, 2.886535455104422e-11, -1.3274936705442997e-12] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-1.9479529100863147e-11, -7.547285019171568e-11, 6.7690297811395794e-12, -2.0195678462897604e-10, 1.6482348819124581e-10, -5.731404240094662e-11, 2.361286721708211e-10, -4.129319108869822e-11, -1.5954337850843103e-10, 1.5235812611535948e-11, -4.0137804191431314e-10, 3.297666584245462e-10, -1.2018563921856185e-10, 4.889957327947059e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-4.4358294815083354e-11, -2.1883983514214833e-10, -3.814015769876278e-11, 1.6142109870997956e-10, -1.2764378443108626e-10, 6.34581276415247e-11, -6.546618802616422e-11, -7.204425944706827e-11, -4.4627079809345105e-10, -5.847256012714297e-11, 3.136060300334975e-10, -2.5383650736898744e-10, 1.478981381808353e-10, -1.3554857236641737e-10] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [-7.511447019936668e-11, 8.260414574579045e-11, 1.9678303431192035e-10, 6.830314092098888e-12, 3.8260061785422295e-11, 1.5282508591951682e-10, -1.245097358548719e-10, -1.4914081081229824e-10, 1.76151981889916e-10, 3.9778891292030494e-10, 3.703704010149522e-12, 8.357914360601626e-11, 3.1860580840259445e-10, -2.278391919574574e-10, 2.6013857734596968e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.7919445361467297e-11, -1.9952262064748538e-11, 4.34192681808554e-11, -5.849110085165421e-11, -2.682076782889453e-12, 3.691735805944063e-11, -2.432853918321598e-11, 7.893552478321908e-11, -4.0306535886713846e-11, 8.765121961573641e-11, -1.1376111164196345e-10, 1.4417356197782283e-12, 7.749401120804578e-11, -5.286959758876719e-11, 1.5982770662503754e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [2.8762214832056543e-10, -2.144051602925856e-11, 1.0243805803611394e-10, -2.9623747899165664e-11, 6.586486911430711e-11, 7.235301247021653e-11, 7.394396206450438e-11, -3.90963150742607e-10, 5.609710473919449e-10, -2.1595947252706083e-11, 2.1405788253048286e-10, -5.189237928249213e-11, 1.2256817782940743e-10, 1.212683287121763e-10, 1.2865375431658777e-10, -7.765588172503612e-10] QuasiNewtonMethods.optimum(state) .- 1 = [3.0926483596260823e-10, -2.6419533227795e-10, 6.754019565846647e-11, -4.6124881691866904e-11, -2.5463142705461905e-10, -8.555589570136135e-11, 1.6830981053317373e-12, 7.954925607123187e-11, 6.209786018729346e-10, -5.243918632658051e-10, 1.3555423450384296e-10, -9.291911684528031e-11, -5.229049415689246e-10, -1.7542356456345942e-10, 6.838529742481114e-12, 1.647249003866591e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [6.9675376579425574e-12, -8.18922707424008e-12, 8.97215635120574e-12, -7.588119022017281e-11, -2.0423551738701917e-11, 2.1697532659459284e-11, 5.427236438038108e-11, -5.985190121293726e-11, 1.492339585240643e-11, -1.7568058119366015e-11, 1.7034595956033627e-11, -1.5682022347363045e-10, -4.023159583255165e-11, 4.2025494195740976e-11, 1.092432810878563e-10, -1.1508394237580433e-10, 5.866018781830462e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.0704259700844432e-10, 1.7837220589456138e-10, 6.055245194147574e-11, 3.8799852219995046e-11, -5.258260493690159e-11, 2.2264745602740277e-10, -2.2502621987996463e-10, 5.888245446783458e-11, 2.0372370457266697e-10, 3.522402369782185e-10, 1.2692136230896267e-10, 8.947420582217092e-11, -9.883471818739054e-11, 4.4123660281059074e-10, -4.652553897699363e-10, 1.2051759590292477e-10, 2.2359225582135878e-11] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [3.502931278376309e-11, 5.3508308894834045e-11, 2.8724356226916825e-11, 1.1747469663703214e-10, 1.7666379470426818e-10, 6.703881894054575e-11, 1.6754375664618237e-11, 1.6684431614066852e-12, -5.947287107233024e-11, 6.130451701835682e-11, 1.0010725581821589e-10, 5.350853093943897e-11, 2.2894641737991606e-10, 3.580427065941194e-10, 1.3856493730202146e-10, 3.390265845837348e-11, 6.480149750132114e-12, -1.1631451357629885e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-1.5325185565018273e-11, 1.241007296926e-11, -4.4560022338657745e-11, -7.180933625505759e-11, -3.7276404185604406e-11, -4.582290102916886e-11, 1.2827072737309209e-11, -1.1522893750282037e-11, -9.803824418952445e-12, -2.8011148955897625e-11, 2.3961055362065053e-11, -8.586564792523177e-11, -1.4206724685550398e-10, -7.380296374037698e-11, -9.169387471530399e-11, 1.8467449791614854e-11, -2.3044566255236987e-11, -1.3973044943327295e-11] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [-3.9191316858477876e-11, 1.4227552469492366e-10, -8.177891697158657e-11, 3.6197267405668754e-11, -1.0538536709958635e-10, 8.932166117858742e-11, 4.3623105128176576e-11, -7.248768252310356e-11, 2.134914467433191e-11, -7.854172867638454e-11, 2.845090829595165e-10, -1.656970116670209e-10, 6.932299179140955e-11, -2.115908559474633e-10, 1.776876423775775e-10, 8.878298096703929e-11, -1.4218659583065119e-10, 4.3018477668965716e-11, -9.05997499245359e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-2.491684636396485e-11, 3.042810448050659e-11, -1.4058088027013582e-11, -1.6482371023585074e-11, 2.732991610798763e-11, 1.497513224535396e-11, 2.5849544726952445e-11, 7.069900220812997e-12, 4.009037546381933e-11, -4.945066578443402e-11, 5.92206284011354e-11, -2.761368911308182e-11, -3.349187593926217e-11, 5.644995582088086e-11, 2.7144730907480152e-11, 5.2483128953895175e-11, 1.7574164346001453e-11, 8.26525514696641e-11, -1.1425638213324874e-11] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [1.5637269257240405e-11, -6.657008277954901e-12, -1.0941691996890768e-11, -4.6167736300617435e-11, 9.384537591472508e-11, 6.212586001197451e-12, -4.466427228067005e-11, -5.083500287383913e-11, -1.958522233280746e-11, 1.3569967372006886e-10, 2.738431703619426e-11, -1.37446720671619e-11, -2.2185808745689428e-11, -9.215661567196776e-11, 1.8944557034217269e-10, 1.0045519971413341e-11, -8.866252176886746e-11, -1.0105938308413442e-10, -4.018441135400508e-11, 2.654583219907636e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.4661939984914625e-11, 1.2661449666495628e-10, -2.5889845822746338e-11, -4.427502808823647e-11, 2.5541124770711576e-11, 4.738565095863123e-11, -7.756861819530059e-11, 2.3568702545162523e-11, -1.0515899262486528e-10, 9.599587791342401e-11, -6.382516737346577e-11, 2.6174906686549093e-10, -5.158395932625126e-11, -8.130485174007163e-11, 4.4727777037678607e-11, 7.542944047145284e-11, -1.5169920875024445e-10, 4.6410875143010344e-11, -1.977401575814497e-10, 1.9226864544918953e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-1.317934650302277e-10, 3.7956082721279927e-10, 1.136271077228912e-10, -6.593914303465453e-11, 1.7463808177353712e-10, 1.2720668962629134e-10, 1.9099366532771e-10, -5.650537815427015e-10, -6.011990905108178e-11, 1.7262036244858336e-10, -2.6194479918473235e-10, 7.639757715338646e-10, 2.3981905350467514e-10, -1.4975121143123715e-10, 3.432152340110406e-10, 2.4099700013380243e-10, 4.0724335015340785e-10, -1.1110476982878481e-9, -1.1207046402006426e-10, 3.478501930942457e-10, 2.2436719149254714e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.746730786209241e-10, 3.8789926826154897e-10, -1.1608936034690487e-10, 1.6080736742196677e-10, 1.5678991438505818e-10, -8.805178808302117e-12, 3.388400671155978e-11, 1.821380823940899e-10, -1.6766144028679264e-11, 8.6834983648032e-12, -9.476917028905518e-10, 7.750660113714503e-10, -2.3275004146228184e-10, 3.275568705163323e-10, 3.311131369088116e-10, -1.7947199282275506e-11, 6.71838140675618e-11, 3.729221376147507e-10, -2.54504195495997e-11, 3.149214222730734e-11, -3.6899039379534315e-11] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [7.325184903095305e-11, -6.50441922545042e-11, -1.3727030623300607e-10, -1.8542611890381977e-11, 6.544054187429538e-11, -9.343070761502759e-11, -8.213041358118289e-11, 4.994760161025624e-11, 1.5809353826057304e-11, -4.257771912818953e-11, 6.66533495063959e-12, 1.446771591417928e-10, -1.324998999407967e-10, -2.652548181103498e-10, -3.6190717089823465e-11, 1.1857292925299134e-10, -1.8882395647068506e-10, -1.6223355991940025e-10, 1.067550492450664e-10, 3.034950069036313e-11, -8.599387868457598e-11, 1.0956568985420745e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.4394596625777467e-11, -8.176126442549503e-12, -4.470634973330334e-11, -2.5264235148370062e-12, 5.475842002056197e-12, -3.725797448339563e-11, 4.995093227933012e-11, -4.391265129299882e-12, 1.361977197689157e-11, 3.1991964632993586e-11, -2.9812596835654404e-11, -2.7767121935085015e-11, -1.2987499964367544e-11, -9.100686870766594e-11, -5.6811222393093885e-12, 1.3078871319294194e-11, -7.390743572699421e-11, 1.0602896338696155e-10, -8.665068662594422e-12, 2.7149171799578653e-11, 6.312439460032238e-11, -5.891043208805513e-11] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [4.604006065278554e-11, 2.599320758633894e-11, -4.9209858410392826e-11, -8.695599795771614e-12, -5.3906878960674476e-12, -4.2680858847177205e-11, 9.858114324856615e-12, 4.4500403362235375e-11, 1.7389645279308752e-11, 3.2427394103251572e-12, 2.4160673461892657e-11, 9.657408206464879e-11, 5.4505733260157285e-11, -9.771450315554375e-11, -1.8456458583671065e-11, -9.558909219720135e-12, -8.814937668688572e-11, 1.7004619934368748e-11, 8.818812347044513e-11, 3.3298697132977395e-11, 7.179146166436112e-12, 4.814371123984529e-11, 1.4780177082229784e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-2.1942958561282921e-10, -7.870715190705369e-11, -2.9105273746665716e-11, -7.794664913518545e-11, -3.0402558248709965e-10, -4.0556225044952043e-11, -1.2180845221365644e-10, -3.6436076378265625e-11, 9.177147930472529e-11, 1.251483361386363e-10, -9.785916521565241e-11, -4.3853387587944326e-10, -1.5625578608791102e-10, -6.354961001875381e-11, -1.662822102233008e-10, -6.016596110214323e-10, -1.0285317042502129e-10, -2.551869826561415e-10, -7.233480481261267e-11, 1.738200694489933e-10, 2.4401236586868436e-10, -1.9618739965920895e-10, -3.14718251459567e-11] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [-1.1741840832968364e-10, -8.247924565552012e-11, -7.792921863369884e-11, -6.203493274625771e-11, 4.4924952646852034e-11, 7.066125462529271e-12, -6.0442095772828e-11, 3.93662880071588e-12, -4.7240100720102873e-11, -4.3965608931273437e-11, -1.3851808589038228e-11, 1.4699907957549385e-10, -2.2395552079501613e-10, -1.703950314180247e-10, -1.578599473361919e-10, -1.236528657244662e-10, 9.341394324735575e-11, 5.706990435783155e-12, -1.268249949504252e-10, 4.023226196636642e-12, -9.689093971587681e-11, -8.353062685984014e-11, -3.007449844716348e-11, 2.9568747450525734e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-3.2279179329464114e-11, 4.942046771816422e-12, 7.302092264183102e-11, -1.2184919739866018e-11, -9.75526326385534e-11, -3.4044989050130425e-12, 3.113465041337804e-11, -1.2940115645676542e-10, -4.0952419233519777e-10, -5.096389976699811e-11, -3.3295588508508445e-12, 3.4912073232362673e-12, -6.429434762367237e-11, -4.796163466380676e-13, 1.543611904963882e-10, -2.2954527167939887e-11, -1.920856806947313e-10, -1.616351497091273e-11, 7.193512452374762e-11, -2.6318192070107216e-10, -8.443713506167683e-10, -1.103273028491003e-10, -3.5422775823690245e-12, 5.186739926443806e-12] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m18.2s Method ambiguity | 1 1 8.9s 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 5.3s Compat bounds | 3 1 4 20.1s 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 19.5s Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") weakdeps | 1 1 0.0s Piracy | 1 1 0.3s Persistent tasks | 1 1 1m00.7s RNG of the outermost testset: Random.Xoshiro(0x599169900a601a8f, 0x5869d298d6232825, 0x7175a3ab8883d254, 0xfde9b5f6d8248635, 0x8b7f0d74205c5a15) 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 278.11s 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:3298 [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 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 499.68s: package has test failures