Package evaluation of PyTorchNormalizingFlows on Julia 1.12.0-rc1.2 (995ff9db19*) started at 2025-07-14T21:25:44.274 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.56s ################################################################################ # Installation # Installing PyTorchNormalizingFlows... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.12/Project.toml` [b1ce68fd] + PyTorchNormalizingFlows v1.0.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [80f14c24] + AbstractMCMC v5.6.3 ⌅ [7a57a42e] + AbstractPPL v0.10.1 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [76274a88] + Bijectors v0.15.8 [d360d2e6] + ChainRulesCore v1.25.2 [0ca39b1e] + Chairmarks v1.3.1 [9e997f8a] + ChangesOfVariables v0.1.10 [38540f10] + CommonSolve v0.2.4 [34da2185] + Compat v4.17.0 [a33af91c] + CompositionsBase v0.1.2 [8f4d0f93] + Conda v1.10.2 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [b429d917] + DensityInterface v0.4.0 ⌅ [a0c0ee7d] + DifferentiationInterface v0.6.54 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [366bfd00] + DynamicPPL v0.35.9 [1a297f60] + FillArrays v1.13.0 [d9f16b24] + Functors v0.5.2 [34004b35] + HypergeometricFunctions v0.3.28 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0 [6fdf6af0] + LogDensityProblems v2.1.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.2 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [438e738f] + PyCall v1.96.4 [b1ce68fd] + PyTorchNormalizingFlows v1.0.0 [1fd47b50] + QuadGK v2.11.2 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [f2b01f46] + Roots v2.2.8 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [5d786b92] + TerminalLoggers v0.1.7 [28d57a85] + Transducers v0.4.84 [81def892] + VersionParsing v1.3.0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [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 v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.11.1+1 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.64.0+1 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b19db3927f0db4151cb86d073689f2428e524576/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Installation completed after 58.28s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ MethodError: no method matching prune_manifest(::Pkg.Types.Manifest, ::Vector{UUID}) │ The function `prune_manifest` exists, but no method is defined for this combination of argument types. │ │ Closest candidates are: │ prune_manifest(::Pkg.Types.Manifest, !Matched::Set{UUID}) │ @ Pkg /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:1234 │ prune_manifest(!Matched::Pkg.Types.EnvCache) │ @ Pkg /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:1213 │ │ Stacktrace: │ [1] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.11/activate_set.jl:40 │ [2] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.11/activate_set.jl:9 │ [3] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [4] include(mod::Module, _path::String) │ @ Base ./Base.jl:305 │ [5] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:321 │ [6] _start() │ @ Base ./client.jl:554 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 56306.8 ms ✓ PyTorchNormalizingFlows 1 dependency successfully precompiled in 60 seconds. 138 already precompiled. Precompilation completed after 71.48s ################################################################################ # Testing # Testing PyTorchNormalizingFlows Status `/tmp/jl_k4LVH9/Project.toml` ⌃ [47edcb42] ADTypes v1.14.0 ⌃ [b5ca4192] AdvancedVI v0.3.1 ⌃ [76274a88] Bijectors v0.15.5 ⌃ [31c24e10] Distributions v0.25.118 ⌅ [366bfd00] DynamicPPL v0.35.0 ⌃ [3bd65402] Optimisers v0.4.5 [b1ce68fd] PyTorchNormalizingFlows v1.0.0 `~/.julia/packages/PyTorchNormalizingFlows/md14d` ⌃ [e88e6eb3] Zygote v0.7.4 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_k4LVH9/Manifest.toml` ⌃ [47edcb42] ADTypes v1.14.0 [621f4979] AbstractFFTs v1.5.0 ⌃ [80f14c24] AbstractMCMC v5.6.0 ⌅ [7a57a42e] AbstractPPL v0.10.1 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 ⌃ [b5ca4192] AdvancedVI v0.3.1 [66dad0bd] AliasTables v1.1.3 ⌃ [dce04be8] ArgCheck v2.4.0 [a9b6321e] Atomix v1.1.1 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 ⌃ [76274a88] Bijectors v0.15.5 [fa961155] CEnum v0.5.0 ⌃ [082447d4] ChainRules v1.72.3 ⌃ [d360d2e6] ChainRulesCore v1.25.1 ⌃ [9e997f8a] ChangesOfVariables v0.1.9 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 ⌃ [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [8f4d0f93] Conda v1.10.2 [88cd18e8] ConsoleProgressMonitor v0.1.2 ⌃ [187b0558] ConstructionBase v1.5.8 [9a962f9c] DataAPI v1.16.0 ⌃ [864edb3b] DataStructures v0.18.20 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [b429d917] DensityInterface v0.4.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 ⌅ [a0c0ee7d] DifferentiationInterface v0.6.44 ⌃ [31c24e10] Distributions v0.25.118 ⌃ [ffbed154] DocStringExtensions v0.9.3 ⌅ [366bfd00] DynamicPPL v0.35.0 [1a297f60] FillArrays v1.13.0 ⌅ [f6369f11] ForwardDiff v0.10.38 [d9f16b24] Functors v0.5.2 ⌃ [0c68f7d7] GPUArrays v11.2.2 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 ⌃ [7869d1d1] IRTools v0.4.14 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 ⌃ [63c18a36] KernelAbstractions v0.9.34 ⌃ [929cbde3] LLVM v9.2.0 [1d6d02ad] LeftChildRightSiblingTrees v0.2.0 [6fdf6af0] LogDensityProblems v2.1.2 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 ⌃ [1914dd2f] MacroTools v0.5.15 [dbb5928d] MappedArrays v0.4.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 ⌃ [77ba4419] NaNMath v1.1.2 ⌃ [3bd65402] Optimisers v0.4.5 ⌃ [bac558e1] OrderedCollections v1.8.0 ⌃ [90014a1f] PDMats v0.11.32 ⌃ [69de0a69] Parsers v2.8.1 ⌃ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 ⌃ [33c8b6b6] ProgressLogging v0.1.4 ⌃ [92933f4c] ProgressMeter v1.10.2 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [b1ce68fd] PyTorchNormalizingFlows v1.0.0 `~/.julia/packages/PyTorchNormalizingFlows/md14d` [1fd47b50] QuadGK v2.11.2 [c1ae055f] RealDot v0.1.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 ⌃ [f2b01f46] Roots v2.2.6 [7e506255] ScopedValues v1.3.0 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 ⌃ [276daf66] SpecialFunctions v2.5.0 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 ⌃ [82ae8749] StatsAPI v1.7.0 ⌃ [2913bbd2] StatsBase v0.34.4 ⌃ [4c63d2b9] StatsFuns v1.3.2 ⌃ [09ab397b] StructArrays v0.7.0 [3783bdb8] TableTraits v1.0.1 ⌃ [bd369af6] Tables v1.12.0 [5d786b92] TerminalLoggers v0.1.7 [28d57a85] Transducers v0.4.84 [013be700] UnsafeAtomics v0.3.0 [81def892] VersionParsing v1.3.0 ⌃ [e88e6eb3] Zygote v0.7.4 [700de1a5] ZygoteRules v0.2.7 ⌅ [dad2f222] LLVMExtra_jll v0.0.35+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [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 v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+2 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... Precompiling packages... 2204.1 ms ✓ ChangesOfVariables 1408.6 ms ✓ ADTypes 877.7 ms ✓ ArgCheck 1294.5 ms ✓ ProgressLogging 2188.1 ms ✓ PDMats 3251.0 ms ✓ Setfield 5215.5 ms ✓ Accessors 939.7 ms ✓ ConsoleProgressMonitor 1368.8 ms ✓ Functors 898.0 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 3521.8 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1456.3 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 4814.4 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2805.8 ms ✓ HypergeometricFunctions 9350.7 ms ✓ KernelAbstractions 2394.7 ms ✓ Conda 992.8 ms ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt 3401.0 ms ✓ ChangesOfVariables → ChangesOfVariablesTestExt 944.7 ms ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt 1820.2 ms ✓ DifferentiationInterface 937.2 ms ✓ ADTypes → ADTypesChainRulesCoreExt 834.4 ms ✓ ADTypes → ADTypesConstructionBaseExt 1888.6 ms ✓ LogDensityProblems 2895.3 ms ✓ TerminalLoggers 1484.0 ms ✓ FillArrays → FillArraysPDMatsExt 3811.3 ms ✓ SplittablesBase 2256.5 ms ✓ Accessors → LinearAlgebraExt 2870.2 ms ✓ Accessors → TestExt 1970.7 ms ✓ Accessors → StaticArraysExt 3693.4 ms ✓ StatsFuns 4652.0 ms ✓ KernelAbstractions → SparseArraysExt 3264.8 ms ✓ KernelAbstractions → LinearAlgebraExt 27956.0 ms ✓ PyCall 1393.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 929.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 1345.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 7148.5 ms ✓ Roots 2141.7 ms ✓ BangBang 2120.9 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 5118.6 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 11377.5 ms ✓ Distributions 1487.8 ms ✓ Roots → RootsChainRulesCoreExt 1882.0 ms ✓ BangBang → BangBangStaticArraysExt 1211.8 ms ✓ BangBang → BangBangChainRulesCoreExt 1260.4 ms ✓ BangBang → BangBangTablesExt 3061.9 ms ✓ MicroCollections 6691.6 ms ✓ Distributions → DistributionsDensityInterfaceExt 5474.4 ms ✓ Distributions → DistributionsTestExt 5535.3 ms ✓ Distributions → DistributionsChainRulesCoreExt 7504.7 ms ✓ Transducers 10953.2 ms ✓ Bijectors 2621.6 ms ✓ Transducers → TransducersAdaptExt 19136.5 ms ✓ AbstractMCMC 4982.5 ms ✓ AbstractPPL 23704.5 ms ✓ DynamicPPL 7977.4 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 11497.8 ms ✓ PyTorchNormalizingFlows 57 dependencies successfully precompiled in 259 seconds. 98 already precompiled. ┌ Warning: Failed to import PyTorch or normflows └ @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/PyTorchNormalizingFlows.jl:20 ┌ Warning: Please check your Python environment └ @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/PyTorchNormalizingFlows.jl:21 Precompiling packages... 5470.5 ms ✓ StructArrays 5803.7 ms ✓ IRTools 14883.5 ms ✓ StaticArrays 1026.5 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 2514.2 ms ✓ ZygoteRules 10099.3 ms ✓ ForwardDiff 5368.0 ms ✓ LLVMExtra_jll 938.8 ms ✓ StructArrays → StructArraysAdaptExt 1395.6 ms ✓ StructArrays → StructArraysSparseArraysExt 1046.4 ms ✓ StructArrays → StructArraysLinearAlgebraExt 2823.5 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 1619.8 ms ✓ StaticArrays → StaticArraysStatisticsExt 2018.6 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1430.1 ms ✓ Adapt → AdaptStaticArraysExt 1732.5 ms ✓ StructArrays → StructArraysStaticArraysExt 4672.3 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 22411.1 ms ✓ LLVM 13636.5 ms ✓ ChainRules 8812.3 ms ✓ KernelAbstractions 8922.0 ms ✓ UnsafeAtomics → UnsafeAtomicsLLVM 3286.2 ms ✓ KernelAbstractions → SparseArraysExt 2600.3 ms ✓ KernelAbstractions → LinearAlgebraExt 2775.2 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 16680.4 ms ✓ GPUArrays Info Given Zygote was explicitly requested, output will be shown live  WARNING: Constructor for type "Variable" was extended in `Zygote` without explicit qualification or import.  NOTE: Assumed "Variable" refers to `IRTools.Variable`. This behavior is deprecated and may differ in future versions.`  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function Variable end`.  Hint: To silence the warning, qualify `Variable` as `IRTools.Variable` in the method signature or explicitly `import IRTools: Variable`. 72554.9 ms ✓ Zygote 25 dependencies successfully precompiled in 216 seconds. 80 already precompiled. 1 dependency had output during precompilation: ┌ Zygote │ [Output was shown above] └ Precompiling packages... 2248.6 ms ✓ Transducers → TransducersAdaptExt 1 dependency successfully precompiled in 3 seconds. 44 already precompiled. Precompiling packages... 1064.3 ms ✓ Accessors → StructArraysExt 1 dependency successfully precompiled in 1 seconds. 20 already precompiled. Precompiling packages... 1214.6 ms ✓ BangBang → BangBangStructArraysExt 1 dependency successfully precompiled in 1 seconds. 24 already precompiled. Precompiling packages... 1984.8 ms ✓ Roots → RootsForwardDiffExt 1 dependency successfully precompiled in 3 seconds. 36 already precompiled. Precompiling packages... 5717.2 ms ✓ Bijectors → BijectorsForwardDiffExt 1 dependency successfully precompiled in 8 seconds. 87 already precompiled. Precompiling packages... 1474.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1576.3 ms ✓ Accessors → StaticArraysExt 1714.1 ms ✓ BangBang → BangBangStaticArraysExt 2143.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 7274.0 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 5 dependencies successfully precompiled in 17 seconds. 149 already precompiled. Precompiling packages... 14427.5 ms ✓ Bijectors → BijectorsZygoteExt 1 dependency successfully precompiled in 17 seconds. 144 already precompiled. Precompiling packages... 5787.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 1 dependency successfully precompiled in 7 seconds. 113 already precompiled. RealNVP: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:9 Got exception outside of a @test ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] make_real_nvp_flow_torch(dim::Int64, n_layers::Int64, hidden_dim::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:9 [5] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [7] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:9 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [9] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:10 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [11] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:10 [inlined] [12] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [13] top-level scope @ none:6 [14] eval(m::Module, e::Any) @ Core ./boot.jl:489 [15] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [16] _start() @ Base ./client.jl:554 MaskedAffineAutoregressive: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:14 Got exception outside of a @test ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] _make_masked_affine_autoregressive_flow_torch(; dim::Int64, n_layers::Int64, n_units::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:28 [5] _make_masked_affine_autoregressive_flow_torch @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:25 [inlined] [6] #make_masked_affine_autoregressive_flow_torch#2 @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:41 [inlined] [7] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [9] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:9 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [11] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:15 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [13] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:15 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [18] _start() @ Base ./client.jl:554 NeuralSpline: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:19 Got exception outside of a @test ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] make_neural_spline_flow_torch(dim::Int64, n_layers::Int64, hidden_units::Int64, hidden_layers::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:54 [5] make_neural_spline_flow_torch(dim::Int64, n_layers::Int64, hidden_units::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:49 [6] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [8] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:9 [inlined] [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [10] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:20 [inlined] [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [12] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:20 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [17] _start() @ Base ./client.jl:554 Planar: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:24 Got exception outside of a @test ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] make_planar_flow_torch(dim::Int64, n_layers::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:73 [5] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [7] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:9 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [9] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:25 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [11] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:25 [inlined] [12] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [13] top-level scope @ none:6 [14] eval(m::Module, e::Any) @ Core ./boot.jl:489 [15] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [16] _start() @ Base ./client.jl:554 Planar: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:31 Got exception outside of a @test ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] make_planar_flow_torch(dim::Int64, n_layers::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:73 [5] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [7] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:31 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [9] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:32 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [11] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:32 [inlined] [12] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [13] top-level scope @ none:6 [14] eval(m::Module, e::Any) @ Core ./boot.jl:489 [15] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [16] _start() @ Base ./client.jl:554 RealNVP: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:37 Got exception outside of a @test ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] make_real_nvp_flow_torch(dim::Int64, n_layers::Int64, hidden_dim::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:9 [5] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [7] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:31 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [9] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:38 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [11] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:38 [inlined] [12] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [13] top-level scope @ none:6 [14] eval(m::Module, e::Any) @ Core ./boot.jl:489 [15] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [16] _start() @ Base ./client.jl:554 MaskedAffineAutoregressive: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:43 Got exception outside of a @test ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] _make_masked_affine_autoregressive_flow_torch(; dim::Int64, n_layers::Int64, n_units::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:28 [5] _make_masked_affine_autoregressive_flow_torch @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:25 [inlined] [6] #make_masked_affine_autoregressive_flow_torch#2 @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:41 [inlined] [7] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [9] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:31 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [11] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:44 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [13] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:44 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [18] _start() @ Base ./client.jl:554 NeuralSpline: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:49 Got exception outside of a @test ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] make_neural_spline_flow_torch(dim::Int64, n_layers::Int64, hidden_units::Int64, hidden_layers::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:54 [5] make_neural_spline_flow_torch(dim::Int64, n_layers::Int64, hidden_units::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:49 [6] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [8] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:31 [inlined] [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [10] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:50 [inlined] [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [12] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:50 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [14] top-level scope @ none:6 [15] eval(m::Module, e::Any) @ Core ./boot.jl:489 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [17] _start() @ Base ./client.jl:554 Precompiling packages... 2844.4 ms ✓ Optimisers 6678.6 ms ✓ AdvancedVI 2 dependencies successfully precompiled in 12 seconds. 83 already precompiled. Precompiling packages... 1029.5 ms ✓ Optimisers → OptimisersAdaptExt 1 dependency successfully precompiled in 1 seconds. 15 already precompiled. Precompiling packages... 5899.0 ms ✓ AdvancedVI → AdvancedVIBijectorsExt 1 dependency successfully precompiled in 8 seconds. 93 already precompiled. Integration with AdvancedVI: Error During Test at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:56 Got exception outside of a @test LoadError: ArgumentError: ref of NULL PyObject Stacktrace: [1] _getproperty(o::PyCall.PyObject, s::Symbol) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:299 [2] __getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:312 [inlined] [3] getproperty @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:318 [inlined] [4] _make_masked_affine_autoregressive_flow_torch(; dim::Int64, n_layers::Int64, n_units::Int64) @ PyTorchNormalizingFlows ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:28 [5] _make_masked_affine_autoregressive_flow_torch @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:25 [inlined] [6] #make_masked_affine_autoregressive_flow_torch#2 @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/src/flows.jl:41 [inlined] [7] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/vi_tests.jl:29 [8] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [9] top-level scope @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:8 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [11] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:57 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [13] macro expansion @ ~/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:57 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [18] _start() @ Base ./client.jl:554 in expression starting at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/vi_tests.jl:29 Test Summary: | Error Total Time PyTorchNormalizingFlows.jl | 9 9 50.1s Flows | 4 4 6.0s RealNVP | 1 1 5.7s MaskedAffineAutoregressive | 1 1 0.1s NeuralSpline | 1 1 0.1s Planar | 1 1 0.1s Zygote rules | 4 4 0.0s Planar | 1 1 0.0s RealNVP | 1 1 0.0s MaskedAffineAutoregressive | 1 1 0.0s NeuralSpline | 1 1 0.0s Integration with AdvancedVI | 1 1 44.0s RNG of the outermost testset: Xoshiro(0xc6bb6331e9c103e0, 0x8df3052ae7f6b6c8, 0xe9d39a881b887ed8, 0x1f55369d2c398ff6, 0xdd0af5a760e2922a) ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 9 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/PyTorchNormalizingFlows/md14d/test/runtests.jl:7 Testing failed after 603.53s ERROR: LoadError: Package PyTorchNormalizingFlows errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/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/v1.12/Pkg/src/Operations.jl:2458 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2313 [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/v1.12/Pkg/src/API.jl:511 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:305 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:321 [12] _start() @ Base ./client.jl:554 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 812.07s: package tests unexpectedly errored