Package evaluation to test NormalizingFlows on Julia 1.12.4 (0f21d93eaa*) started at 2026-01-27T05:53:49.729 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 5.86s ################################################################################ # Installation # Installing NormalizingFlows... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [50e4474d] + NormalizingFlows v0.2.2 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.2 [198e06fe] + BangBang v0.4.7 [9718e550] + Baselet v0.1.1 [76274a88] + Bijectors v0.15.15 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [9e997f8a] + ChangesOfVariables v0.1.10 [38540f10] + CommonSolve v0.2.6 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.15 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [f151be2c] + EnzymeCore v0.8.18 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [1a297f60] + FillArrays v1.16.0 [587475ba] + Flux v0.16.8 [f6369f11] + ForwardDiff v1.3.1 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [2182be2a] + HeterogeneousComputing v0.2.5 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.15 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.39 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 [7e8f7934] + MLDataDevices v1.17.2 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [568f7cb4] + MonotonicSplines v0.3.3 [872c559c] + NNlib v0.9.33 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [50e4474d] + NormalizingFlows v0.2.2 [0b1bfda6] + OneHotArrays v0.2.10 [3bd65402] + Optimisers v0.4.7 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [8162dcfd] + PrettyPrint v0.2.0 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v2.2.10 [431bcebd] + SciMLPublic v1.0.1 [7e506255] + ScopedValues v1.5.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [09ab397b] + StructArrays v0.7.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [28d57a85] + Transducers v0.4.85 [013be700] + UnsafeAtomics v0.3.0 [e88e6eb3] + Zygote v0.7.10 [700de1a5] + ZygoteRules v0.2.7 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [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 [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 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 4.33s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 307440.4 ms ✓ NormalizingFlows 1 dependency successfully precompiled in 318 seconds. 259 already precompiled. Precompilation completed after 306.71s ################################################################################ # Testing # Testing NormalizingFlows Status `/tmp/jl_ZIbkox/Project.toml` [47edcb42] ADTypes v1.21.0 [76274a88] Bijectors v0.15.15 [a0c0ee7d] DifferentiationInterface v0.7.15 [31c24e10] Distributions v0.25.123 [7da242da] Enzyme v0.13.119 [587475ba] Flux v0.16.8 [f6369f11] ForwardDiff v1.3.1 [d9f16b24] Functors v0.5.2 [568f7cb4] MonotonicSplines v0.3.3 [da2b9cff] Mooncake v0.4.203 [50e4474d] NormalizingFlows v0.2.2 [3bd65402] Optimisers v0.4.7 [37e2e3b7] ReverseDiff v1.16.2 [e88e6eb3] Zygote v0.7.10 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_ZIbkox/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [a9b6321e] Atomix v1.1.2 [198e06fe] BangBang v0.4.7 [9718e550] Baselet v0.1.1 [76274a88] Bijectors v0.15.15 [fa961155] CEnum v0.5.0 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [9e997f8a] ChangesOfVariables v0.1.10 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.15 [8d63f2c5] DispatchDoctor v0.4.27 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [7da242da] Enzyme v0.13.119 [f151be2c] EnzymeCore v0.8.18 [e2ba6199] ExprTools v0.1.10 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.16.0 [587475ba] Flux v0.16.8 [f6369f11] ForwardDiff v1.3.1 [069b7b12] FunctionWrappers v1.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.8.1 [86223c79] Graphs v1.13.4 [076d061b] HashArrayMappedTries v0.2.0 [2182be2a] HeterogeneousComputing v0.2.5 [34004b35] HypergeometricFunctions v0.3.28 [7869d1d1] IRTools v0.4.15 [d25df0c9] Inflate v0.1.5 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.39 [929cbde3] LLVM v9.4.4 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 [7e8f7934] MLDataDevices v1.17.2 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [dbe65cb8] MistyClosures v2.1.0 [568f7cb4] MonotonicSplines v0.3.3 [da2b9cff] Mooncake v0.4.203 [872c559c] NNlib v0.9.33 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [50e4474d] NormalizingFlows v0.2.2 [d8793406] ObjectFile v0.5.0 [0b1bfda6] OneHotArrays v0.2.10 [3bd65402] Optimisers v0.4.7 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [8162dcfd] PrettyPrint v0.2.0 [33c8b6b6] ProgressLogging v0.1.6 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [c1ae055f] RealDot v0.1.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [37e2e3b7] ReverseDiff v1.16.2 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v2.2.10 [431bcebd] SciMLPublic v1.0.1 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 [09ab397b] StructArrays v0.7.2 [53d494c1] StructIO v0.3.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [e689c965] Tracy v0.1.6 [28d57a85] Transducers v0.4.85 [013be700] UnsafeAtomics v0.3.0 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 [7cc45869] Enzyme_jll v0.0.240+0 [dad2f222] LLVMExtra_jll v0.0.38+0 [ad6e5548] LibTracyClient_jll v0.13.1+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 v1.7.0 [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 v1.12.1 [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 v8.15.0+0 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.7.0+0 Testing Running tests... Precompiling packages... 50589.2 ms ✓ ReverseDiff 1 dependency successfully precompiled in 52 seconds. 33 already precompiled. Precompiling packages... 19654.5 ms ✓ Bijectors → BijectorsReverseDiffExt 1 dependency successfully precompiled in 22 seconds. 89 already precompiled. Precompiling packages... 11019.0 ms ✓ MLDataDevices → ReverseDiffExt 1 dependency successfully precompiled in 12 seconds. 44 already precompiled. Precompiling packages... 18963.8 ms ✓ Bijectors → BijectorsReverseDiffChainRulesExt 1 dependency successfully precompiled in 22 seconds. 109 already precompiled. Precompiling packages... 10928.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceReverseDiffExt 1 dependency successfully precompiled in 12 seconds. 40 already precompiled. Precompiling packages... Info Given QuadGKEnzymeExt was explicitly requested, output will be shown live  ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ For the time being we recommend using 1.11 or LTS (1.10). │ │ For latest updates, check the status of support for Julia 1.12+ at │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ └ @ Enzyme ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:1587 25200.7 ms ✓ QuadGK → QuadGKEnzymeExt 1 dependency successfully precompiled in 26 seconds. 51 already precompiled. 1 dependency had output during precompilation: ┌ QuadGK → QuadGKEnzymeExt │ [Output was shown above] └ Precompiling packages... 28119.4 ms ✓ Enzyme → EnzymeSpecialFunctionsExt 30397.5 ms ✓ Enzyme → EnzymeStaticArraysExt 26818.6 ms ✓ Enzyme → EnzymeChainRulesCoreExt 26987.4 ms ✓ Enzyme → EnzymeLogExpFunctionsExt 26368.7 ms ✓ Enzyme → EnzymeGPUArraysCoreExt Info Given FluxEnzymeExt was explicitly requested, output will be shown live  ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ For the time being we recommend using 1.11 or LTS (1.10). │ │ For latest updates, check the status of support for Julia 1.12+ at │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ └ @ Enzyme ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:1587 43887.8 ms ✓ Flux → FluxEnzymeExt 6 dependencies successfully precompiled in 185 seconds. 190 already precompiled. 6 dependencies had output during precompilation: ┌ Enzyme → EnzymeGPUArraysCoreExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:1587 └ ┌ Enzyme → EnzymeChainRulesCoreExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:1587 └ ┌ Enzyme → EnzymeSpecialFunctionsExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:1587 └ ┌ Enzyme → EnzymeStaticArraysExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:1587 └ ┌ Enzyme → EnzymeLogExpFunctionsExt │ ┌ Warning: Enzyme.jl support for Julia 1.12 is presently in progress. │ │ For the time being we recommend using 1.11 or LTS (1.10). │ │ │ │ For latest updates, check the status of support for Julia 1.12+ at │ │ https://github.com/EnzymeAD/Enzyme.jl/issues/2699. │ │ │ └ @ Enzyme ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:1587 └ ┌ Flux → FluxEnzymeExt │ [Output was shown above] └ Precompiling packages... 12861.2 ms ✓ Graphs 82758.9 ms ✓ Mooncake 2 dependencies successfully precompiled in 98 seconds. 64 already precompiled. Precompiling packages... 6813.6 ms ✓ Mooncake → MooncakeLogExpFunctionsExt 7813.9 ms ✓ Mooncake → MooncakeSpecialFunctionsExt 9530.1 ms ✓ Bijectors → BijectorsMooncakeExt 3 dependencies successfully precompiled in 28 seconds. 121 already precompiled. Precompiling packages... 8381.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceMooncakeExt 1 dependency successfully precompiled in 10 seconds. 71 already precompiled. Precompiling packages... 10777.0 ms ✓ Mooncake → MooncakeNNlibExt 12354.1 ms ✓ Flux → FluxMooncakeExt 13569.8 ms ✓ Mooncake → MooncakeFluxExt 3 dependencies successfully precompiled in 40 seconds. 172 already precompiled. Precompiling packages... 5687.1 ms ✓ Mooncake → MooncakeFunctionWrappersExt 1 dependency successfully precompiled in 7 seconds. 67 already precompiled. ┌ Warning: `MvNormal(μ::AbstractVector{<:Real}, σ::AbstractVector{<:Real})` is deprecated, use `MvNormal(μ, LinearAlgebra.Diagonal(map(abs2, σ)))` instead. │ caller = ip:0x0 └ @ Core :-1 Test Summary: | Pass Total Time variational objectives | 10 10 23.7s WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). Float32: Error During Test at /home/pkgeval/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:14 Got exception outside of a @test EnzymeNoTypeError: Enzyme cannot statically prove the type of a value being differentiated and risks a correctness error if it gets it wrong. Generally this shouldn't occur as Enzyme records type information from julia, but may be expected if you, for example, copy untyped data. or alternatively emit very large sized registers that exceed the maximum size of Enzyme's type analysis. If it seems reasonable to differentiate this code, open an issue! If the cause of the error is too large of a register, you can request Enzyme increase the size (https://enzyme.mit.edu/julia/dev/api/#Enzyme.API.maxtypeoffset!-Tuple{Any}) or depth (https://enzyme.mit.edu/julia/dev/api/#Enzyme.API.maxtypedepth!-Tuple{Any}) of its type analysis. Alternatively, you can tell Enzyme to take its best guess from context with (https://enzyme.mit.edu/julia/dev/api/#Enzyme.API.looseTypeAnalysis!-Tuple{Any}) All of these settings are global configurations that need to be set immediately after loading Enzyme, before any differentiation occurs. To toggle more information for debugging (needed for bug reports), set Enzyme.Compiler.VERBOSE_ERRORS[] = true (default false) Failure within method: MethodInstance for (::NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}, ComposedFunction{Bijectors.Shift{Vector{Float32}}, Bijectors.Scale{Vector{Float32}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}})(::Vector{Float32}, ::TaskLocalRNG, ::var"#logp#logp##1"{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}}, ::Int64) Hint: catch this exception as `err` and call `code_typed(err)` to inspect the errornous code. Stacktrace: [1] IdDict @ ./iddict.jl:31 [inlined] [2] IdDict @ ./iddict.jl:49 [inlined] [3] fmap @ ~/.julia/packages/Functors/LbNAu/src/maps.jl:3 [inlined] [4] #_rebuild#40 @ ~/.julia/packages/Optimisers/ZOK0f/src/destructure.jl:96 [inlined] [5] _rebuild @ ~/.julia/packages/Optimisers/ZOK0f/src/destructure.jl:94 [inlined] [6] Restructure @ ~/.julia/packages/Optimisers/ZOK0f/src/destructure.jl:59 [inlined] [7] loss @ ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:69 [inlined] [8] loss @ ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:0 [inlined] [9] diffejulia_loss_79893_inner_1wrap @ ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:0 [10] macro expansion @ ~/.julia/packages/Enzyme/jaHZG/src/compiler.jl:6672 [inlined] [11] enzyme_call @ ~/.julia/packages/Enzyme/jaHZG/src/compiler.jl:6151 [inlined] [12] CombinedAdjointThunk @ ~/.julia/packages/Enzyme/jaHZG/src/compiler.jl:6035 [inlined] [13] autodiff @ ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:528 [inlined] [14] macro expansion @ ~/.julia/packages/Enzyme/jaHZG/src/sugar.jl:287 [inlined] [15] gradient @ ~/.julia/packages/Enzyme/jaHZG/src/sugar.jl:274 [inlined] [16] value_and_gradient(::NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}, ComposedFunction{Bijectors.Shift{Vector{Float32}}, Bijectors.Scale{Vector{Float32}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}}, ::DifferentiationInterfaceEnzymeExt.EnzymeGradientPrep{Tuple{NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}, ComposedFunction{Bijectors.Shift{Vector{Float32}}, Bijectors.Scale{Vector{Float32}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}}, AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, Vector{Float32}, Tuple{DifferentiationInterface.Constant{TaskLocalRNG}, DifferentiationInterface.Constant{var"#logp#logp##1"{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}}}, DifferentiationInterface.Constant{Int64}}}, Nothing, Tuple{Nothing, Nothing, Nothing}}, ::AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, ::Vector{Float32}, ::DifferentiationInterface.Constant{TaskLocalRNG}, ::DifferentiationInterface.Constant{var"#logp#logp##1"{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}}}, ::DifferentiationInterface.Constant{Int64}) @ DifferentiationInterfaceEnzymeExt ~/.julia/packages/DifferentiationInterface/M8gIf/ext/DifferentiationInterfaceEnzymeExt/reverse_onearg.jl:253 [17] _value_and_gradient(::Function, ::DifferentiationInterfaceEnzymeExt.EnzymeGradientPrep{Tuple{NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}, ComposedFunction{Bijectors.Shift{Vector{Float32}}, Bijectors.Scale{Vector{Float32}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}}, AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, Vector{Float32}, Tuple{DifferentiationInterface.Constant{TaskLocalRNG}, DifferentiationInterface.Constant{var"#logp#logp##1"{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}}}, DifferentiationInterface.Constant{Int64}}}, Nothing, Tuple{Nothing, Nothing, Nothing}}, ::AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, ::Vector{Float32}, ::TaskLocalRNG, ::Vararg{Any}) @ NormalizingFlows ~/.julia/packages/NormalizingFlows/ydaBx/src/optimize.jl:13 [18] optimize(::AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, ::NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}, ComposedFunction{Bijectors.Shift{Vector{Float32}}, Bijectors.Scale{Vector{Float32}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}}, ::Vector{Float32}, ::Optimisers.Restructure{MultivariateTransformed{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}, ComposedFunction{Bijectors.Shift{Vector{Float32}}, Bijectors.Scale{Vector{Float32}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}, ::TaskLocalRNG, ::Vararg{Any}; max_iters::Int64, optimiser::Adam{Float32, Tuple{Float64, Float64}, Float64}, show_progress::Bool, callback::var"#cb#cb##0"{AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, Int64}, hasconverged::var"#checkconv#checkconv##0"{Type{Float32}}, prog::ProgressMeter.Progress) @ NormalizingFlows ~/.julia/packages/NormalizingFlows/ydaBx/src/optimize.jl:86 [19] train_flow(::TaskLocalRNG, ::typeof(elbo), ::MultivariateTransformed{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}, ComposedFunction{Bijectors.Shift{Vector{Float32}}, Bijectors.Scale{Vector{Float32}}}}, ::var"#logp#logp##1"{MvNormal{Float32, PDMats.PDiagMat{Float32, Vector{Float32}}, Vector{Float32}}}, ::Vararg{Any}; max_iters::Int64, optimiser::Adam{Float32, Tuple{Float64, Float64}, Float64}, ADbackend::AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, kwargs::@Kwargs{show_progress::Bool, callback::var"#cb#cb##0"{AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, Int64}, hasconverged::var"#checkconv#checkconv##0"{Type{Float32}}}) @ NormalizingFlows ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:72 [20] #train_flow#1 @ ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:52 [inlined] [21] top-level scope @ ~/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:2 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [23] macro expansion @ ~/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:3 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1865 [inlined] [25] macro expansion @ ~/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:14 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1865 [inlined] [27] macro expansion @ ~/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:30 [inlined] [28] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [29] top-level scope @ ~/.julia/packages/NormalizingFlows/ydaBx/test/runtests.jl:15 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [31] top-level scope @ none:6 [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] exec_options(opts::Base.JLOptions) @ Base ./client.jl:283 [34] _start() @ Base ./client.jl:550 WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). Float64: Error During Test at /home/pkgeval/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:14 Got exception outside of a @test EnzymeNoTypeError: Enzyme cannot statically prove the type of a value being differentiated and risks a correctness error if it gets it wrong. Generally this shouldn't occur as Enzyme records type information from julia, but may be expected if you, for example, copy untyped data. or alternatively emit very large sized registers that exceed the maximum size of Enzyme's type analysis. If it seems reasonable to differentiate this code, open an issue! If the cause of the error is too large of a register, you can request Enzyme increase the size (https://enzyme.mit.edu/julia/dev/api/#Enzyme.API.maxtypeoffset!-Tuple{Any}) or depth (https://enzyme.mit.edu/julia/dev/api/#Enzyme.API.maxtypedepth!-Tuple{Any}) of its type analysis. Alternatively, you can tell Enzyme to take its best guess from context with (https://enzyme.mit.edu/julia/dev/api/#Enzyme.API.looseTypeAnalysis!-Tuple{Any}) All of these settings are global configurations that need to be set immediately after loading Enzyme, before any differentiation occurs. To toggle more information for debugging (needed for bug reports), set Enzyme.Compiler.VERBOSE_ERRORS[] = true (default false) Failure within method: MethodInstance for (::NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{DiagNormal, ComposedFunction{Bijectors.Shift{Vector{Float64}}, Bijectors.Scale{Vector{Float64}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}})(::Vector{Float64}, ::TaskLocalRNG, ::var"#logp#logp##1"{DiagNormal}, ::Int64) Hint: catch this exception as `err` and call `code_typed(err)` to inspect the errornous code. Stacktrace: [1] IdDict @ ./iddict.jl:31 [inlined] [2] IdDict @ ./iddict.jl:49 [inlined] [3] fmap @ ~/.julia/packages/Functors/LbNAu/src/maps.jl:3 [inlined] [4] #_rebuild#40 @ ~/.julia/packages/Optimisers/ZOK0f/src/destructure.jl:96 [inlined] [5] _rebuild @ ~/.julia/packages/Optimisers/ZOK0f/src/destructure.jl:94 [inlined] [6] Restructure @ ~/.julia/packages/Optimisers/ZOK0f/src/destructure.jl:59 [inlined] [7] loss @ ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:69 [inlined] [8] loss @ ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:0 [inlined] [9] diffejulia_loss_95603_inner_1wrap @ ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:0 [10] macro expansion @ ~/.julia/packages/Enzyme/jaHZG/src/compiler.jl:6672 [inlined] [11] enzyme_call @ ~/.julia/packages/Enzyme/jaHZG/src/compiler.jl:6151 [inlined] [12] CombinedAdjointThunk @ ~/.julia/packages/Enzyme/jaHZG/src/compiler.jl:6035 [inlined] [13] autodiff @ ~/.julia/packages/Enzyme/jaHZG/src/Enzyme.jl:528 [inlined] [14] macro expansion @ ~/.julia/packages/Enzyme/jaHZG/src/sugar.jl:287 [inlined] [15] gradient @ ~/.julia/packages/Enzyme/jaHZG/src/sugar.jl:274 [inlined] [16] value_and_gradient(::NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{DiagNormal, ComposedFunction{Bijectors.Shift{Vector{Float64}}, Bijectors.Scale{Vector{Float64}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}}, ::DifferentiationInterfaceEnzymeExt.EnzymeGradientPrep{Tuple{NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{DiagNormal, ComposedFunction{Bijectors.Shift{Vector{Float64}}, Bijectors.Scale{Vector{Float64}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}}, AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, Vector{Float64}, Tuple{DifferentiationInterface.Constant{TaskLocalRNG}, DifferentiationInterface.Constant{var"#logp#logp##1"{DiagNormal}}, DifferentiationInterface.Constant{Int64}}}, Nothing, Tuple{Nothing, Nothing, Nothing}}, ::AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, ::Vector{Float64}, ::DifferentiationInterface.Constant{TaskLocalRNG}, ::DifferentiationInterface.Constant{var"#logp#logp##1"{DiagNormal}}, ::DifferentiationInterface.Constant{Int64}) @ DifferentiationInterfaceEnzymeExt ~/.julia/packages/DifferentiationInterface/M8gIf/ext/DifferentiationInterfaceEnzymeExt/reverse_onearg.jl:253 [17] _value_and_gradient(::Function, ::DifferentiationInterfaceEnzymeExt.EnzymeGradientPrep{Tuple{NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{DiagNormal, ComposedFunction{Bijectors.Shift{Vector{Float64}}, Bijectors.Scale{Vector{Float64}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}}, AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, Vector{Float64}, Tuple{DifferentiationInterface.Constant{TaskLocalRNG}, DifferentiationInterface.Constant{var"#logp#logp##1"{DiagNormal}}, DifferentiationInterface.Constant{Int64}}}, Nothing, Tuple{Nothing, Nothing, Nothing}}, ::AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, ::Vector{Float64}, ::TaskLocalRNG, ::Vararg{Any}) @ NormalizingFlows ~/.julia/packages/NormalizingFlows/ydaBx/src/optimize.jl:13 [18] optimize(::AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, ::NormalizingFlows.var"#loss#3"{typeof(elbo), Optimisers.Restructure{MultivariateTransformed{DiagNormal, ComposedFunction{Bijectors.Shift{Vector{Float64}}, Bijectors.Scale{Vector{Float64}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}}, ::Vector{Float64}, ::Optimisers.Restructure{MultivariateTransformed{DiagNormal, ComposedFunction{Bijectors.Shift{Vector{Float64}}, Bijectors.Scale{Vector{Float64}}}}, @NamedTuple{dist::Tuple{}, transform::@NamedTuple{outer::@NamedTuple{a::Int64}, inner::@NamedTuple{a::Int64}}}}, ::TaskLocalRNG, ::Vararg{Any}; max_iters::Int64, optimiser::Adam{Float64, Tuple{Float64, Float64}, Float64}, show_progress::Bool, callback::var"#cb#cb##0"{AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, Int64}, hasconverged::var"#checkconv#checkconv##0"{Type{Float64}}, prog::ProgressMeter.Progress) @ NormalizingFlows ~/.julia/packages/NormalizingFlows/ydaBx/src/optimize.jl:86 [19] train_flow(::TaskLocalRNG, ::typeof(elbo), ::MultivariateTransformed{DiagNormal, ComposedFunction{Bijectors.Shift{Vector{Float64}}, Bijectors.Scale{Vector{Float64}}}}, ::var"#logp#logp##1"{DiagNormal}, ::Vararg{Any}; max_iters::Int64, optimiser::Adam{Float64, Tuple{Float64, Float64}, Float64}, ADbackend::AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, kwargs::@Kwargs{show_progress::Bool, callback::var"#cb#cb##0"{AutoEnzyme{ReverseMode{false, true, false, FFIABI, false, false}, Const}, Int64}, hasconverged::var"#checkconv#checkconv##0"{Type{Float64}}}) @ NormalizingFlows ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:72 [20] #train_flow#1 @ ~/.julia/packages/NormalizingFlows/ydaBx/src/NormalizingFlows.jl:52 [inlined] [21] top-level scope @ ~/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:2 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [23] macro expansion @ ~/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:3 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1865 [inlined] [25] macro expansion @ ~/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:14 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1865 [inlined] [27] macro expansion @ ~/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:30 [inlined] [28] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [29] top-level scope @ ~/.julia/packages/NormalizingFlows/ydaBx/test/runtests.jl:15 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:307 [31] top-level scope @ none:6 [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] exec_options(opts::Base.JLOptions) @ Base ./client.jl:283 [34] _start() @ Base ./client.jl:550 WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). WARNING: Method definition functor(Type{var"#s114"} where var"#s114"<:(Distributions.MvNormal{T, Cov, Mean} where Mean<:(AbstractArray{T, 1} where T) where Cov<:(PDMats.AbstractPDMat{T} where T<:Real) where T<:Real), Any) in module Main at /home/pkgeval/.julia/packages/Functors/LbNAu/src/functor.jl:11 overwritten on the same line (check for duplicate calls to `include`). Test Summary: | Pass Error Total Time testing mean-field Gaussian VI | 40 2 42 25m33.2s AutoZygote() | 8 8 3m30.7s AutoForwardDiff(chunksize=4) | 8 8 11.7s AutoForwardDiff() | 8 8 4.5s AutoReverseDiff() | 8 8 19.1s AutoEnzyme(mode=ReverseMode{false, true, false, FFIABI, false, false}(), function_annotation=Const) | 2 2 8m13.0s Float32 | 1 1 6m38.8s Float64 | 1 1 1m34.2s AutoMooncake(config=Mooncake.Config(false, false, false)) | 8 8 13m13.2s RNG of the outermost testset: Xoshiro(0x23336980c4a8e51b, 0xf8c390c01a51d02a, 0x59ab45eff96576d3, 0x5a1548c9ecdb2f78, 0x446b76f66c97f400) ERROR: LoadError: Some tests did not pass: 40 passed, 0 failed, 2 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/NormalizingFlows/ydaBx/test/interface.jl:1 in expression starting at /home/pkgeval/.julia/packages/NormalizingFlows/ydaBx/test/runtests.jl:15 Testing failed after 2149.22s ERROR: LoadError: Package NormalizingFlows 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:2535 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2384 [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:538 [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:169 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:156 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:306 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:317 [12] _start() @ Base ./client.jl:550 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 2517.32s: package tests unexpectedly errored