Package evaluation to test QuasiNewtonMethods on Julia 1.14.0-DEV.2457 (6e8868916a*) started at 2026-06-28T18:32:45.066 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.27s ################################################################################ # Installation # Installing QuasiNewtonMethods... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [64452400] + QuasiNewtonMethods v0.1.4 Updating `~/.julia/environments/v1.14/Manifest.toml` [79e6a3ab] + Adapt v4.7.0 [4fba245c] + ArrayInterface v7.27.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 ⌃ [2a0fbf3d] + CPUSummary v0.2.6 [fb6a15b2] + CloseOpenIntervals v0.1.13 [34da2185] + Compat v4.18.1 [adafc99b] + CpuId v0.3.1 [ffbed154] + DocStringExtensions v0.9.5 [3e5b6fbb] + HostCPUFeatures v0.1.18 [615f187c] + IfElse v0.1.1 [10f19ff3] + LayoutPointers v0.1.17 [bdcacae8] + LoopVectorization v0.12.174 [d125e4d3] + ManualMemory v0.1.8 [6fe1bfb0] + OffsetArrays v1.17.0 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [64452400] + QuasiNewtonMethods v0.1.4 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.46 [431bcebd] + SciMLPublic v1.2.1 ⌅ [aedffcd0] + Static v0.8.10 [0d7ed370] + StaticArrayInterface v1.10.0 ⌅ [7792a7ef] + StrideArraysCore v0.4.17 [8290d209] + ThreadingUtilities v0.5.6 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.74 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.5+2 [4536629a] + OpenBLAS_jll v0.3.33+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 4.39s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.4 s ✓ StaticArrayInterface 1.0 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.1 s ✓ LayoutPointers 1.1 s ✓ CloseOpenIntervals 17.4 s ✓ VectorizationBase 2.1 s ✓ StrideArraysCore 3.5 s ✓ SLEEFPirates 4.0 s ✓ VectorizedRNG 38.8 s ✓ LoopVectorization 4.2 s ✓ VectorizedRNG → VectorizedRNGStaticArraysExt 41.8 s ✓ VectorizedStatistics 13.3 s ✓ QuasiNewtonMethods 14.4 s ✓ Octavian 15.7 s ✓ StrideArrays 14 dependencies successfully precompiled in 162 seconds. 56 already precompiled. Precompilation completed after 188.15s ################################################################################ # Testing # Testing QuasiNewtonMethods Status `/tmp/jl_vFMFtd/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_vFMFtd/Manifest.toml` [79e6a3ab] Adapt v4.7.0 [4c88cf16] Aqua v0.8.16 [4fba245c] ArrayInterface v7.27.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 ⌃ [2a0fbf3d] CPUSummary v0.2.6 [fb6a15b2] CloseOpenIntervals v0.1.13 [34da2185] Compat v4.18.1 [adafc99b] CpuId v0.3.1 [ffbed154] DocStringExtensions v0.9.5 [3e5b6fbb] HostCPUFeatures v0.1.18 [615f187c] IfElse v0.1.1 [10f19ff3] LayoutPointers v0.1.17 [bdcacae8] LoopVectorization v0.12.174 [d125e4d3] ManualMemory v0.1.8 [6fd5a793] Octavian v0.3.29 [6fe1bfb0] OffsetArrays v1.17.0 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [64452400] QuasiNewtonMethods v0.1.4 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.46 [431bcebd] SciMLPublic v1.2.1 ⌅ [aedffcd0] Static v0.8.10 [0d7ed370] StaticArrayInterface v1.10.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [d1fa6d79] StrideArrays v0.1.29 ⌅ [7792a7ef] StrideArraysCore v0.4.17 [8290d209] ThreadingUtilities v0.5.6 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.74 [33b4df10] VectorizedRNG v0.2.26 [3b853605] VectorizedStatistics v0.5.11 [0dad84c5] ArgTools v1.2.0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [f489334b] StyledStrings v1.13.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.5+2 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [458c3c95] OpenSSL_jll v3.5.7+0 [efcefdf7] PCRE2_jll v10.47.0+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... WARNING: Method definition boundscheck() in module StrideArraysCore at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/ptr_array.jl:897 overwritten at /home/pkgeval/.julia/packages/StrideArraysCore/COJRJ/src/StrideArraysCore.jl:75. Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") does not declare a compat entry for the following extras: 1-element Vector{Base.PkgId}: Test [8dfed614-e22c-5e08-85e1-65c5234f0b40] Base.PkgId(Base.UUID("64452400-c6f4-4a1d-a4f6-ad403655768a"), "QuasiNewtonMethods") extras: Test Failed at /home/pkgeval/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:60 Expression: isempty(result) Evaluated: isempty(Base.PkgId[Base.PkgId(Base.UUID("8dfed614-e22c-5e08-85e1-65c5234f0b40"), "Test")]) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [2] test_deps_compat(pkg::Base.PkgId, deps_type::String; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:60 [3] test_deps_compat(pkg::Base.PkgId, deps_type::String) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:55 [inlined] [4] macro expansion @ ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:45 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [6] test_deps_compat(pkg::Base.PkgId; check_julia::Bool, check_extras::Bool, check_weakdeps::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/h1qD0/src/deps_compat.jl:45 n = 2 QuasiNewtonMethods.optimum(state) .- 1 = [-1.4322987240689145e-11, -2.9834357206937057e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-3.174149831863815e-11, -6.351530412729289e-11] n = 3 QuasiNewtonMethods.optimum(state) .- 1 = [1.1335155036817923e-11, 2.397815279664428e-11, 4.378875040345065e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.0477196887848095e-10, 2.1474777511798493e-10, -5.2047144372124876e-11] n = 4 QuasiNewtonMethods.optimum(state) .- 1 = [6.326494883523992e-12, -2.2468915616968843e-11, 1.3202106075027586e-11, -4.569533640363943e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.0230860603144265e-10, -1.2977652286139119e-10, 1.983322395204823e-10, -2.7773139343878483e-10] n = 5 QuasiNewtonMethods.optimum(state) .- 1 = [-1.9863000133568676e-12, -1.5576429035490946e-13, -3.972600026713735e-12, -4.900524430695441e-13, -8.954614827416663e-12] QuasiNewtonMethods.optimum(state) .- 1 = [7.108980071279802e-12, 3.120215197327525e-11, 8.590017586129761e-12, 5.952371928685807e-11, -7.19890813627444e-12] n = 6 QuasiNewtonMethods.optimum(state) .- 1 = [-2.590088143961111e-10, 7.661582479556728e-11, -5.050970752762396e-11, -5.080189602324481e-10, 1.7531975871065697e-10, -9.367984166175347e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.2205958466182665e-10, 1.1256773291279387e-11, 5.1245674370647976e-11, -2.4509405616157665e-10, 2.02198258136832e-11, 1.0235501335387198e-10] n = 7 QuasiNewtonMethods.optimum(state) .- 1 = [-4.9223958242805566e-12, -6.546985176214548e-12, -1.775413149829319e-11, -1.0249134874129595e-11, -1.4030110406793028e-11, -3.48391315796448e-11, 4.6957771004940696e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.0204947997749514e-11, -1.2034706564634234e-11, -2.1935120386729068e-11, 1.7503776206240218e-11, -2.309241686759833e-11, -4.845790435581421e-11, 3.8164804649909456e-11] n = 8 QuasiNewtonMethods.optimum(state) .- 1 = [4.6943560150225494e-11, 6.004063912712354e-11, -1.3121392861137338e-10, 8.58006998782912e-11, 1.012019357204963e-10, 1.09410036586155e-10, -2.522567710272483e-10, 1.8035972715324533e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-4.276323739560439e-11, -2.920641506420907e-11, 4.6603831904690196e-11, -9.071954298889295e-11, -6.650224815274441e-11, -6.024380994062994e-11, 9.577383330849898e-11, -1.7882928471379955e-10] n = 9 QuasiNewtonMethods.optimum(state) .- 1 = [4.8516524131514416e-11, -2.4900637107805323e-11, -1.201816424156732e-11, 4.71467309637319e-11, 9.951084400938726e-11, -4.982225743077606e-11, -2.2844615088501996e-11, 8.384448690890167e-11, -5.856870544107551e-12] QuasiNewtonMethods.optimum(state) .- 1 = [2.376676633275565e-11, 2.8402613594380455e-11, -6.479150549409951e-12, 1.277067340765825e-11, 4.778866191657016e-11, 5.274025660639836e-11, -1.2935319482210161e-11, 2.454481062841296e-11, -1.554312234475219e-14] n = 10 QuasiNewtonMethods.optimum(state) .- 1 = [1.828779350177001e-10, -1.480909839202127e-10, 2.3726798303869145e-11, -9.340095363796763e-11, -8.91298146399322e-12, 3.6704217443173093e-10, -2.945300670020856e-10, 4.246514251349254e-11, -1.9601442691197235e-10, -1.857192177823208e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-4.551425902832307e-11, 3.5358382888261985e-11, 2.8070434865412608e-11, 1.1420775436477015e-10, -1.1177503367321151e-10, -9.852307858437825e-11, 6.463807267209631e-11, 5.771960687184219e-11, 2.1809376526960023e-10, -2.2248813902336906e-10] n = 11 QuasiNewtonMethods.optimum(state) .- 1 = [5.720113271934224e-11, 5.617772913524277e-11, 1.3462564396604648e-11, -4.3523296078262774e-11, -1.1978085190378351e-11, 1.1169820623990745e-10, 1.1606782202022714e-10, 2.8115731964817314e-11, -9.008094270512856e-11, -2.515077035525337e-11, 7.278844194047451e-12] QuasiNewtonMethods.optimum(state) .- 1 = [1.231295065906579e-10, 4.1003422879271056e-11, -3.12793124734867e-11, 4.3236969560211946e-11, 2.1471491251645602e-11, 2.394329179367105e-10, 7.854850103683475e-11, -5.569800176630224e-11, 8.523781680480624e-11, 3.495381761808858e-11, -2.602140725116442e-12] n = 12 QuasiNewtonMethods.optimum(state) .- 1 = [-2.5445423545988888e-11, 1.6282530879152546e-12, -4.009348408828828e-11, -1.0829626084785104e-10, -3.8858916084905104e-11, 2.1899815294545988e-11, -5.318423479394596e-11, 3.483657806668816e-12, -7.92559351481259e-11, -2.1807256000982989e-10, -7.891964859396694e-11, 4.128741792897017e-11] QuasiNewtonMethods.optimum(state) .- 1 = [2.4318125291244996e-10, 2.798796749914345e-10, -8.546496843564455e-13, -8.160083719843669e-11, -2.371547402901797e-12, -2.550299971204595e-10, 5.080331710871633e-10, 5.585734097479644e-10, -2.3552160222095608e-11, -1.876245825371825e-10, -5.970779426434092e-13, -5.043520046044137e-10] n = 13 QuasiNewtonMethods.optimum(state) .- 1 = [-4.6564974098828316e-11, -1.3542278409772734e-10, -7.4373063263522e-11, -5.7136850806216444e-11, 1.4205081555473953e-10, -2.756099792833311e-10, -8.827394371024866e-11, -2.589904957162048e-10, -1.5874856984510188e-10, -1.1888756645817011e-10, 2.731059822735915e-10, -5.459834806487152e-10, 8.54094572844133e-12] QuasiNewtonMethods.optimum(state) .- 1 = [-3.5728198177764625e-11, -5.1538218137636704e-11, 1.809290495202731e-10, -1.8174350913113813e-10, 1.7914203453983646e-10, 1.0335376998682477e-10, -7.184164374507418e-11, -9.371159404025775e-11, 3.8745362473946443e-10, -3.751375876603902e-10, 3.8388248135845515e-10, 2.2956347933700272e-10, -5.640021782937765e-11] n = 14 QuasiNewtonMethods.optimum(state) .- 1 = [-2.059319381686464e-11, -8.18315415429538e-11, -3.7343905745501615e-11, -2.2068791238893937e-11, 1.032307572756963e-10, 4.2377212849942225e-11, 2.1866508603807233e-11, -4.0076608698313976e-11, -1.6548484804701502e-10, -7.183698080837075e-11, -4.66384708630585e-11, 2.0476398354674075e-10, 8.539458029588332e-11, 4.389022478790139e-11] QuasiNewtonMethods.optimum(state) .- 1 = [1.1368683772161603e-13, -7.754796804704256e-12, 8.97126817278604e-12, 1.6555645743210334e-12, 4.995115432393504e-12, -5.46229728115577e-14, 7.389644451905042e-13, 3.7414515929867775e-13, -1.571742735961834e-11, 1.6074253039732866e-11, 3.15503179137977e-12, 1.0004663764107136e-11, -1.0436096431476471e-13, 1.7830181775480014e-12] n = 15 QuasiNewtonMethods.optimum(state) .- 1 = [2.5854873797470646e-12, -1.0587086762825493e-12, 2.4562574196806963e-12, -1.1710299396838764e-11, -6.730394019882624e-12, -1.137034910669854e-11, -2.4130697440227777e-12, 5.5135895848934524e-12, -2.0973223158193832e-12, 6.433520383097857e-12, -2.4385715668984176e-11, -1.366784463385784e-11, -2.3331780951707515e-11, -4.8552273312907346e-12, -1.383337888682945e-13] QuasiNewtonMethods.optimum(state) .- 1 = [6.552003384285854e-11, 2.0204060646733524e-11, -3.763545031176818e-11, -5.572742267645481e-11, -3.549949223469184e-11, -7.769851428918173e-11, -4.070122017196809e-11, 1.3016965283441095e-10, 4.327849190133293e-11, -7.58314522286696e-11, -1.1122347487457773e-10, -7.611922203665245e-11, -1.6459611451580258e-10, -8.399947404313934e-11, 5.1805226775059054e-12] n = 16 QuasiNewtonMethods.optimum(state) .- 1 = [-3.295161921101908e-10, -1.805141591759707e-10, -1.2191359033408844e-11, 1.0658007809638548e-10, -3.487943267543869e-11, 5.876610309485386e-11, -1.4131673609085738e-10, 8.51372305987752e-11, -6.839694366433946e-10, -3.6026337468797465e-10, -1.405708882629142e-11, 2.093674122960465e-10, -7.475142727031425e-11, 1.0892642343662828e-10, -2.714575231266281e-10, 1.709619112943983e-10] QuasiNewtonMethods.optimum(state) .- 1 = [-4.295785949182118e-12, 3.8500980181765954e-11, 2.4506063844853543e-10, -7.28548332773471e-11, -8.545053553632442e-12, -7.337175311761257e-11, 2.0257706623283411e-10, -2.1502311042809197e-10, -1.3131717935266352e-11, 7.898304232867304e-11, 5.045193152142247e-10, -1.4758672062242795e-10, -2.300670765009727e-11, -1.5065071412578845e-10, 4.2142511702536467e-10, -4.325988456344021e-10] n = 17 QuasiNewtonMethods.optimum(state) .- 1 = [1.1297585089664608e-10, -1.8116086408781484e-10, -1.459599108244447e-11, -8.010148100368042e-12, -1.6911028133392847e-11, -2.0837775949189563e-12, 3.466160691800724e-11, -8.500788961640637e-11, 2.188891290444417e-10, -3.514173396723663e-10, -2.8607449742423796e-11, -1.307076669121443e-11, -3.5899394568161824e-11, -6.63225030450576e-12, 7.601141938096134e-11, -1.6871404273643975e-10, 1.0719203302755886e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.89963616953537e-11, -5.5011883937083894e-11, -3.3857916470481086e-11, -6.5817795658063e-11, 7.824851877558103e-13, 5.6074700438557556e-11, 2.126521181367025e-12, -1.7554069309255738e-11, 7.935940793402096e-11, -1.1011147549311318e-10, -6.792655327103603e-11, -1.323988696455558e-10, 7.056577544517495e-13, 1.0927991844766893e-10, 5.176081785407405e-12, -3.59838825403358e-11, 1.552979966845669e-12] n = 18 QuasiNewtonMethods.optimum(state) .- 1 = [-5.208500297726459e-12, -1.0022960239552958e-10, 5.365463628947964e-11, 2.0944779244302936e-10, 1.5340995140888936e-10, -1.0608436351589035e-10, -3.815758820024939e-11, -1.743668542886212e-10, -3.6704150829791615e-10, -1.076660982590738e-11, -2.0099244490978663e-10, 1.0357714685937935e-10, 4.111719853483464e-10, 2.860109926672294e-10, -2.00282013196329e-10, -6.325728829637001e-11, -3.3007041544408366e-10, -7.358932352374836e-10] QuasiNewtonMethods.optimum(state) .- 1 = [1.3280976318696958e-10, -1.1237311081657708e-10, 1.8347545704955337e-12, -1.1577150349495469e-10, 8.557354824745289e-11, -1.5968337763183627e-12, 1.2156653461659062e-10, 2.987343705740386e-10, -1.4435330708550964e-10, 2.7509794442437396e-10, -2.3896629119946056e-10, 5.56554802244591e-12, -2.339437532583588e-10, 1.6681633852044797e-10, 1.3653522756840175e-12, 2.4082691396642986e-10, 6.132863106245168e-10, -2.8942559460176653e-10] n = 19 QuasiNewtonMethods.optimum(state) .- 1 = [6.660538787173209e-11, 5.974332140112892e-12, -6.440148414554869e-11, 4.9245052480273444e-11, 5.116129742077646e-12, -7.089773212953787e-12, -1.965227980349482e-11, -3.9310443789020155e-11, -1.9241719328988438e-11, 1.3909717822002676e-10, 9.96425164601078e-12, -1.2951539840599935e-10, 9.805956047159725e-11, 5.3792525989138085e-12, -1.868971644114481e-11, -3.9730552181538314e-11, -8.621170444200743e-11, -3.620581612295837e-11, 2.9110047705671604e-13] QuasiNewtonMethods.optimum(state) .- 1 = [4.43098890912097e-11, -5.146527648491883e-11, 2.364797246912076e-11, 4.341194070889287e-12, 5.655365065138085e-11, -4.115419116601515e-11, 6.516320816274401e-11, -1.4369061496211089e-11, -1.177692388054652e-10, 8.989320399166445e-11, -1.0328382593627339e-10, 4.288369659377622e-11, 8.098854920035592e-12, 1.1317169423818996e-10, -8.425427022729082e-11, 1.3168000023711102e-10, -2.461497672356927e-11, -2.3185664499436598e-10, 6.945555242054979e-13] n = 20 QuasiNewtonMethods.optimum(state) .- 1 = [8.284950503423261e-11, -1.4892753696926775e-11, 6.301248411944016e-11, 5.0319748368110595e-12, 4.4443559943374567e-11, 2.347011474057581e-13, 1.3664847031691352e-11, 6.2800875610946605e-12, -1.2452261444195756e-12, 1.3739231974341237e-11, 1.6584666973074036e-10, -2.9733659978603555e-11, 1.2792522596782874e-10, 9.237499654091152e-12, 8.725042910384673e-11, 7.192024753521764e-13, 2.759747985692229e-11, 8.658629369051596e-12, -5.345168752057816e-12, 2.7294388971199623e-11] QuasiNewtonMethods.optimum(state) .- 1 = [-1.6847945261133646e-10, -4.512568096970426e-11, 4.4152503875238835e-10, 2.1455437426709523e-10, 2.3583335284627083e-10, -1.0497980262869078e-10, -4.034561573718065e-11, 2.812499122484269e-10, 3.91870980109843e-11, -2.706850299460939e-10, -3.3062075299739035e-10, -8.478262536470993e-11, 8.742477852763386e-10, 4.1076519963212377e-10, 4.5596482145526807e-10, -2.0071011519462445e-10, -8.836553710978023e-11, 5.621307863634684e-10, 8.527933914592722e-11, -5.32623056770376e-10] n = 21 QuasiNewtonMethods.optimum(state) .- 1 = [-5.701894512100125e-11, 2.1914248193866115e-10, -3.494560196770635e-11, -2.0188362093165324e-10, 2.2382962150402363e-10, 2.329023640612604e-10, 1.702709084838716e-10, 1.2395107162888053e-10, -9.915690490913676e-11, 4.182276747144442e-11, -1.0878720146934029e-10, 4.4682679778418333e-10, -6.780120909155585e-11, -3.8368674903921374e-10, 4.5419046301731214e-10, 4.5527626113539554e-10, 3.3573255286967196e-10, 2.636153517698858e-10, -1.9558732411439905e-10, 6.553446674217867e-11, -4.894973315572315e-13] QuasiNewtonMethods.optimum(state) .- 1 = [4.097522321444558e-11, -6.74308386905409e-11, 7.091727205477127e-11, 2.3211876865047998e-11, -1.895317236488836e-11, -3.0786262428250666e-11, -6.740163982499325e-11, -4.633660122266292e-11, 4.8198334212656846e-11, -4.8122394957772485e-11, 8.723133326782317e-11, -1.369379054594333e-10, 1.3830336875741978e-10, 4.388733820803736e-11, -3.771694068177567e-11, -6.450773248900532e-11, -1.3757639472089522e-10, -8.800038475698102e-11, 9.935896549961853e-11, -1.1295619994911021e-10, 2.5339508269439648e-11] n = 22 QuasiNewtonMethods.optimum(state) .- 1 = [9.049649918324576e-12, 3.128253212025811e-11, -1.3181455926769559e-11, 1.9100054871046268e-11, -2.0418666757393567e-11, 5.068279129716302e-11, -1.0103951009199363e-10, 2.7221114251574363e-11, -8.473555190846582e-12, 5.7080784543472873e-11, -4.258515762245452e-11, 2.0518919896517218e-11, 4.902478423218781e-11, -2.5907831435745265e-11, 3.771072343283777e-11, -4.051625701606554e-11, 1.0316192344816955e-10, -2.0121426747010673e-10, 5.70916647291142e-11, -1.7272849817118185e-11, 1.242443925519865e-10, -8.659351014017602e-11] QuasiNewtonMethods.optimum(state) .- 1 = [3.660627356794066e-12, 1.529454340953862e-10, -2.4374058327225612e-11, -1.6465939722820622e-11, -1.8252588329659147e-10, 1.4961254457546147e-10, -2.7276703118417345e-10, -8.329703593545901e-11, 8.204525947519414e-11, 2.2037927038809357e-11, 9.993916805228764e-11, 1.468425381290217e-11, 3.18346460304042e-10, -4.53823645329976e-11, -3.7385761153529984e-11, -3.7873482128247815e-10, 3.01265679070184e-10, -5.50934520227031e-10, -1.7475920710552373e-10, 1.6781576128721554e-10, 4.6564974098828316e-11, 1.9667845130300066e-10] n = 23 QuasiNewtonMethods.optimum(state) .- 1 = [-2.70930611279141e-10, 1.0313061515887512e-10, -1.8241774757399298e-10, 3.851186036740728e-11, -3.6012415272068665e-11, 6.211586800475288e-11, 1.8013368574543165e-11, -1.1024003931936477e-10, 7.755240893914106e-11, -2.3563784257163434e-10, -4.190081615007557e-11, -5.384115375761667e-10, 1.9434875930812723e-10, -3.695055372787692e-10, 5.827405225033999e-11, -5.018185866845215e-11, 1.263582571908728e-10, 5.0566439924182305e-11, -2.1705626185308802e-10, 1.650344305659246e-10, -4.719858948121214e-10, -8.759515335299284e-11, -3.255840042015734e-11] QuasiNewtonMethods.optimum(state) .- 1 = [5.3721471715562075e-12, 9.29700760821106e-13, 1.8395951428828994e-11, -6.222378168274645e-11, -6.709177657882037e-11, 2.3882229527316667e-11, -1.750841693848315e-10, -7.929101819570405e-12, 9.681744295164663e-11, -2.9061864026402873e-11, -3.9204528512470915e-11, 1.1123546528324368e-11, 1.248334768888526e-12, 4.0285774716153355e-11, -1.280535677494754e-10, -1.3162015921608372e-10, 4.772582329337638e-11, -3.4562774864355106e-10, -1.1891154727550202e-11, 1.9769164083527357e-10, -5.872058395084423e-11, -8.12993006249485e-11, -1.8228751841320445e-12] n = 24 QuasiNewtonMethods.optimum(state) .- 1 = [8.201439527510956e-12, -5.5801474552197305e-11, -4.311895285269429e-11, -7.274281177416242e-11, -2.0451640381224934e-11, 6.141598341002918e-11, -1.9891532865301542e-11, -4.615974269484013e-12, -2.044220348551562e-11, 5.344946707452891e-11, 5.4505733260157285e-11, 1.6036061367685761e-12, 1.905342550401201e-11, -1.0871648026267167e-10, -8.346368041145524e-11, -1.4961853977979445e-10, -3.9639735938123977e-11, 1.2608891708509873e-10, -3.939992776480494e-11, -8.223755010305922e-12, -3.4227287670773876e-11, 1.0704925834659207e-10, 1.0697309704710278e-10, 5.075939668586216e-12] QuasiNewtonMethods.optimum(state) .- 1 = [3.336819709431893e-11, -6.454725642868198e-12, 6.579625733138528e-12, 1.887157097257841e-11, 1.5562662269985594e-11, 2.0486057294988314e-11, -6.210809644358051e-12, 6.482192560497424e-11, -3.846634122339765e-11, -9.216405416623275e-11, -4.226841099352896e-12, 1.626270229593274e-10, 6.494871307438643e-11, -1.9559909247846008e-12, 1.2381651259829596e-11, 3.6167735473213725e-11, 3.039235529911366e-11, 2.7778002120726342e-11, -1.3287593247923724e-11, 1.290345608140342e-10, -8.354683611599967e-11, -1.814630667951178e-10, -1.496669455036681e-11, 3.280775651148815e-10] Test Summary: | Pass Fail Total Time QuasiNewtonMethods.jl | 148 1 149 4m40.2s Method ambiguity | 1 1 9.7s 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 6.9s 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 0.6s 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 0.3s Persistent tasks | 1 1 1m05.4s RNG of the outermost testset: Random.Xoshiro(0x05bdb197e093bf6b, 0xf75cdad258d67054, 0x6aa6a1099f4ba7a2, 0xc7b56e7c3ec207e4, 0x770b6ca4bedf8dcd) 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 302.55s 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 528.5s: package has test failures