Package evaluation to test BarBay on Julia 1.14.0-DEV.2435 (e1b2c72e96*) started at 2026-06-26T02:56:20.494 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.63s ################################################################################ # Installation # Installing BarBay... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [3e4a4fdd] + BarBay v0.1.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.22.1 [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.15.1 ⌅ [7a57a42e] + AbstractPPL v0.9.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.44 [79e6a3ab] + Adapt v4.7.0 ⌅ [0bf59076] + AdvancedHMC v0.6.4 [5b7e9947] + AdvancedMH v0.8.10 ⌅ [576499cb] + AdvancedPS v0.6.2 ⌅ [b5ca4192] + AdvancedVI v0.2.12 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.25.0 [a9b6321e] + Atomix v1.1.3 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [198e06fe] + BangBang v0.4.9 [3e4a4fdd] + BarBay v0.1.0 ⌅ [76274a88] + Bijectors v0.15.16 [336ed68f] + CSV v0.10.16 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [9e997f8a] + ChangesOfVariables v0.1.10 [944b1d66] + CodecZlib v0.7.8 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.8 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.1.0 [34da2185] + Compat v4.18.1 [b0b7db55] + ComponentArrays v0.15.40 [a33af91c] + CompositionsBase v0.1.2 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.2 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.18 [31c24e10] + Distributions v0.25.127 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 [bbc10e6e] + DynamicHMC v3.6.1 ⌅ [366bfd00] + DynamicPPL v0.32.2 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.7 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [b86e33f2] + FFTA v0.3.1 [9aa1b823] + FastClosures v0.3.2 [5789e2e9] + FileIO v1.19.0 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.31.1 ⌅ [f6369f11] + ForwardDiff v0.10.39 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v1.9.2 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.5 [505f98c9] + InplaceOps v0.3.0 [18e54dd8] + IntegerMathUtils v0.1.3 [a98d9a8b] + Interpolations v0.16.3 [8197267c] + IntervalSets v0.7.14 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] + JLD2 v0.4.55 [692b3bcd] + JLLWrappers v1.8.0 ⌅ [682c06a0] + JSON v0.21.4 [ae98c720] + Jieko v0.2.1 [63c18a36] + KernelAbstractions v0.9.41 [5ab0869b] + KernelDensity v0.6.12 [5be7bae1] + LBFGSB v0.4.1 [8ac3fa9e] + LRUCache v1.6.2 [b964fa9f] + LaTeXStrings v1.4.0 [1fad7336] + LazyStack v0.1.3 ⌅ [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 ⌅ [6f1fad26] + Libtask v0.8.8 ⌃ [d3d80556] + LineSearches v7.5.1 [6fdf6af0] + LogDensityProblems v2.2.0 [996a588d] + LogDensityProblemsAD v1.13.1 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 ⌅ [c7f686f2] + MCMCChains v6.0.7 [be115224] + MCMCDiagnosticTools v0.3.19 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 [6fafb56a] + Memoization v0.2.2 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.8 [46d2c3a1] + MuladdMacro v0.2.5 ⌅ [d41bc354] + NLSolversBase v7.10.0 ⌃ [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.4 [86f7a689] + NamedArrays v0.10.5 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 ⌅ [429524aa] + Optim v1.13.3 [3bd65402] + Optimisers v0.4.7 ⌅ [7f7a1694] + Optimization v4.8.0 ⌅ [bca83a33] + OptimizationBase v2.14.0 ⌃ [36348300] + OptimizationOptimJL v0.4.5 ⌅ [bac558e1] + OrderedCollections v1.8.2 [90014a1f] + PDMats v0.11.38 [69de0a69] + Parsers v2.8.6 [2dfb63ee] + PooledArrays v1.4.3 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v1.2.1 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 ⌅ [08abe8d2] + PrettyTables v2.4.0 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 ⌅ [731186ca] + RecursiveArrayTools v3.54.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [37e2e3b7] + ReverseDiff v1.17.0 [79098fc4] + Rmath v0.9.0 ⌅ [f2b01f46] + Roots v2.3.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.20 ⌅ [26aad666] + SSMProblems v0.5.2 ⌅ [0bca4576] + SciMLBase v2.155.1 ⌅ [a6db7da4] + SciMLLogging v1.10.1 [c0aeaf25] + SciMLOperators v1.22.1 [431bcebd] + SciMLPublic v1.2.0 [53ae85a6] + SciMLStructures v1.10.1 [30f210dd] + ScientificTypesBase v3.1.0 [7e506255] + ScopedValues v1.6.2 [91c51154] + SentinelArrays v1.4.10 [efcf1570] + Setfield v1.1.2 [ce78b400] + SimpleUnPack v1.1.0 [a2af1166] + SortingAlgorithms v1.2.3 [9f842d2f] + SparseConnectivityTracer v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [0a514795] + SparseMatrixColorings v0.4.27 [276daf66] + SpecialFunctions v2.8.0 [aedffcd0] + Static v1.4.1 [0d7ed370] + StaticArrayInterface v1.10.0 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.12 ⌅ [4c63d2b9] + StatsFuns v1.5.2 [5e0ebb24] + Strided v2.6.1 [4db3bf67] + StridedViews v0.5.2 [892a3eda] + StringManipulation v0.4.4 [09ab397b] + StructArrays v0.7.3 ⌃ [2efcf032] + SymbolicIndexingInterface v0.3.44 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [02d47bb6] + TensorCast v0.4.9 [5d786b92] + TerminalLoggers v0.1.7 [9f7883ad] + Tracker v0.2.38 [3bb67fe8] + TranscodingStreams v0.11.3 [24ddb15e] + TransmuteDims v0.1.17 [781d530d] + TruncatedStacktraces v1.4.0 [9d95972d] + TupleTools v1.6.0 ⌅ [fce5fe82] + Turing v0.36.0 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.1 [ea10d353] + WeakRefStrings v1.4.3 [efce3f68] + WoodburyMatrices v1.1.0 [76eceee3] + WorkerUtilities v1.6.1 [700de1a5] + ZygoteRules v0.2.7 [81d17ec3] + L_BFGS_B_jll v3.0.1+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [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 [9fa8497b] + Future 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 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [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 v1.5.5+0 [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 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.7+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+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. To see why use `status --outdated -m` Installation completed after 6.14s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 4.5 s ✓ ComponentArrays → ComponentArraysTrackerExt 25.7 s ✓ Bijectors → BijectorsReverseDiffExt 21.1 s ✓ DynamicPPL ERROR: LoadError: `@check_args` requires each check to include an offending value; use `(arg, cond)` or `(arg, cond, message)`. Got: `α > zero(α) && θ > zero(θ)`. Stacktrace:  [1] error(::String, ::Expr, ::String)  @ Base error.jl:56  [2] (::Distributions.var"#@check_args##0#@check_args##1"{Vector{Any}})(check::Expr)  @ Distributions ~/.julia/packages/Distributions/Oj6YW/src/utils.jl:66  [3] map(f::Distributions.var"#@check_args##0#@check_args##1"{Vector{Any}}, t::Tuple{Expr})  @ Base tuple.jl:356  [4] macro expansion  @ ~/.julia/packages/Distributions/Oj6YW/src/utils.jl:50  [5] fl_lower(ex::Expr, mod::Module, filename::String, lineno::UInt64, world::UInt64, warn::Bool)  @ Base flfrontend.jl:24  [6] include(mod::Module, _path::String)  @ Base Base.jl:325  [7] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base loading.jl:3303  [8] top-level scope  @ stdin:5  [9] eval(m::Module, e::Any)  @ Core boot.jl:522  [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base loading.jl:3132  [11] include_string(m::Module, txt::String, fname::String)  @ Base loading.jl:3142 [inlined]  [12] exec_options(opts::Base.JLOptions)  @ Base client.jl:353  [13] _start()  @ Base client.jl:596 in expression starting at /home/pkgeval/.julia/packages/DistributionsAD/GAQrK/ext/DistributionsADReverseDiffExt.jl:127 in expression starting at /home/pkgeval/.julia/packages/DistributionsAD/GAQrK/ext/DistributionsADReverseDiffExt.jl:1 in expression starting at stdin:5 ✗ DistributionsAD → DistributionsADReverseDiffExt 20.7 s ✓ ComponentArrays → ComponentArraysReverseDiffExt 10.6 s ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 10.7 s ✓ AdvancedMH → AdvancedMHMCMCChainsExt 27.5 s ✓ AdvancedVI → AdvancedVIReverseDiffExt 26.4 s ✓ Bijectors → BijectorsReverseDiffChainRulesExt 7.9 s ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 11.8 s ✓ DynamicPPL → DynamicPPLMCMCChainsExt 7.7 s ✓ DynamicPPL → DynamicPPLForwardDiffExt 9.6 s ✓ DynamicPPL → DynamicPPLZygoteRulesExt 23.6 s ✓ Turing 20.9 s ✓ Turing → TuringOptimExt 20.3 s ✓ Turing → TuringDynamicHMCExt 45.3 s ✓ BarBay 16 dependencies successfully precompiled in 327 seconds. 361 already precompiled. Precompilation completed after 346.59s ################################################################################ # Testing # Testing BarBay Status `/tmp/jl_ak9zjf/Project.toml` ⌅ [b5ca4192] AdvancedVI v0.2.12 [3e4a4fdd] BarBay v0.1.0 ⌅ [76274a88] Bijectors v0.15.16 [336ed68f] CSV v0.10.16 [b0b7db55] ComponentArrays v0.15.40 [a93c6f00] DataFrames v1.8.2 [31c24e10] Distributions v0.25.127 [bbc10e6e] DynamicHMC v3.6.1 ⌅ [366bfd00] DynamicPPL v0.32.2 ⌅ [033835bb] JLD2 v0.4.55 ⌅ [c7f686f2] MCMCChains v6.0.7 [6fafb56a] Memoization v0.2.2 [37e2e3b7] ReverseDiff v1.17.0 [2913bbd2] StatsBase v0.34.12 ⌅ [fce5fe82] Turing v0.36.0 [3a884ed6] UnPack v1.0.2 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_ak9zjf/Manifest.toml` [47edcb42] ADTypes v1.22.1 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.15.1 ⌅ [7a57a42e] AbstractPPL v0.9.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.44 [79e6a3ab] Adapt v4.7.0 ⌅ [0bf59076] AdvancedHMC v0.6.4 [5b7e9947] AdvancedMH v0.8.10 ⌅ [576499cb] AdvancedPS v0.6.2 ⌅ [b5ca4192] AdvancedVI v0.2.12 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.25.0 [a9b6321e] Atomix v1.1.3 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [198e06fe] BangBang v0.4.9 [3e4a4fdd] BarBay v0.1.0 ⌅ [76274a88] Bijectors v0.15.16 [336ed68f] CSV v0.10.16 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.1 [9e997f8a] ChangesOfVariables v0.1.10 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.8 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.1.0 [34da2185] Compat v4.18.1 [b0b7db55] ComponentArrays v0.15.40 [a33af91c] CompositionsBase v0.1.2 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [b429d917] DensityInterface v0.4.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [a0c0ee7d] DifferentiationInterface v0.7.18 [31c24e10] Distributions v0.25.127 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 [bbc10e6e] DynamicHMC v3.6.1 ⌅ [366bfd00] DynamicPPL v0.32.2 [cad2338a] EllipticalSliceSampling v2.0.0 [4e289a0a] EnumX v1.0.7 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [b86e33f2] FFTA v0.3.1 [9aa1b823] FastClosures v0.3.2 [5789e2e9] FileIO v1.19.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.31.1 ⌅ [f6369f11] ForwardDiff v0.10.39 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v1.9.2 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [505f98c9] InplaceOps v0.3.0 [18e54dd8] IntegerMathUtils v0.1.3 [a98d9a8b] Interpolations v0.16.3 [8197267c] IntervalSets v0.7.14 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] JLD2 v0.4.55 [692b3bcd] JLLWrappers v1.8.0 ⌅ [682c06a0] JSON v0.21.4 [ae98c720] Jieko v0.2.1 [63c18a36] KernelAbstractions v0.9.41 [5ab0869b] KernelDensity v0.6.12 [5be7bae1] LBFGSB v0.4.1 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 [1fad7336] LazyStack v0.1.3 ⌅ [1d6d02ad] LeftChildRightSiblingTrees v0.2.1 ⌅ [6f1fad26] Libtask v0.8.8 ⌃ [d3d80556] LineSearches v7.5.1 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 ⌅ [c7f686f2] MCMCChains v6.0.7 [be115224] MCMCDiagnosticTools v0.3.19 [e80e1ace] MLJModelInterface v1.12.1 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 [6fafb56a] Memoization v0.2.2 [e1d29d7a] Missings v1.2.0 [2e0e35c7] Moshi v0.3.8 [46d2c3a1] MuladdMacro v0.2.5 ⌅ [d41bc354] NLSolversBase v7.10.0 ⌃ [872c559c] NNlib v0.9.31 [77ba4419] NaNMath v1.1.4 [86f7a689] NamedArrays v0.10.5 [c020b1a1] NaturalSort v1.0.0 [6fe1bfb0] OffsetArrays v1.17.0 ⌅ [429524aa] Optim v1.13.3 [3bd65402] Optimisers v0.4.7 ⌅ [7f7a1694] Optimization v4.8.0 ⌅ [bca83a33] OptimizationBase v2.14.0 ⌃ [36348300] OptimizationOptimJL v0.4.5 ⌅ [bac558e1] OrderedCollections v1.8.2 [90014a1f] PDMats v0.11.38 [69de0a69] Parsers v2.8.6 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [d236fae5] PreallocationTools v1.2.1 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 ⌅ [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [33c8b6b6] ProgressLogging v0.1.6 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.3 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [b3c3ace0] RangeArrays v0.3.2 [c84ed2f1] Ratios v0.4.5 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 ⌅ [731186ca] RecursiveArrayTools v3.54.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [37e2e3b7] ReverseDiff v1.17.0 [79098fc4] Rmath v0.9.0 ⌅ [f2b01f46] Roots v2.3.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.20 ⌅ [26aad666] SSMProblems v0.5.2 ⌅ [0bca4576] SciMLBase v2.155.1 ⌅ [a6db7da4] SciMLLogging v1.10.1 [c0aeaf25] SciMLOperators v1.22.1 [431bcebd] SciMLPublic v1.2.0 [53ae85a6] SciMLStructures v1.10.1 [30f210dd] ScientificTypesBase v3.1.0 [7e506255] ScopedValues v1.6.2 [91c51154] SentinelArrays v1.4.10 [efcf1570] Setfield v1.1.2 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.3 [9f842d2f] SparseConnectivityTracer v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [0a514795] SparseMatrixColorings v0.4.27 [276daf66] SpecialFunctions v2.8.0 [aedffcd0] Static v1.4.1 [0d7ed370] StaticArrayInterface v1.10.0 [90137ffa] StaticArrays v1.9.18 [1e83bf80] StaticArraysCore v1.4.4 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.12 ⌅ [4c63d2b9] StatsFuns v1.5.2 [5e0ebb24] Strided v2.6.1 [4db3bf67] StridedViews v0.5.2 [892a3eda] StringManipulation v0.4.4 [09ab397b] StructArrays v0.7.3 ⌃ [2efcf032] SymbolicIndexingInterface v0.3.44 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [02d47bb6] TensorCast v0.4.9 [5d786b92] TerminalLoggers v0.1.7 [9f7883ad] Tracker v0.2.38 [3bb67fe8] TranscodingStreams v0.11.3 [24ddb15e] TransmuteDims v0.1.17 [781d530d] TruncatedStacktraces v1.4.0 [9d95972d] TupleTools v1.6.0 ⌅ [fce5fe82] Turing v0.36.0 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.1 [ea10d353] WeakRefStrings v1.4.3 [efce3f68] WoodburyMatrices v1.1.0 [76eceee3] WorkerUtilities v1.6.1 [700de1a5] ZygoteRules v0.2.7 [81d17ec3] L_BFGS_B_jll v3.0.1+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [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 [9fa8497b] Future 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 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [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 v1.5.5+0 [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 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.7+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+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... ERROR: LoadError: `@check_args` requires each check to include an offending value; use `(arg, cond)` or `(arg, cond, message)`. Got: `α > zero(α) && θ > zero(θ)`. Stacktrace: [1] error(::String, ::Expr, ::String) @ Base error.jl:56 [2] (::Distributions.var"#@check_args##0#@check_args##1"{Vector{Any}})(check::Expr) @ Distributions ~/.julia/packages/Distributions/Oj6YW/src/utils.jl:66 [3] map(f::Distributions.var"#@check_args##0#@check_args##1"{Vector{Any}}, t::Tuple{Expr}) @ Base tuple.jl:356 [4] macro expansion @ ~/.julia/packages/Distributions/Oj6YW/src/utils.jl:50 [5] fl_lower(ex::Expr, mod::Module, filename::String, lineno::UInt64, world::UInt64, warn::Bool) @ Base flfrontend.jl:24 [6] include(mod::Module, _path::String) @ Base Base.jl:325 [7] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String) @ Base loading.jl:3303 [8] top-level scope @ stdin:5 [9] eval(m::Module, e::Any) @ Core boot.jl:522 [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base loading.jl:3132 [11] include_string(m::Module, txt::String, fname::String) @ Base loading.jl:3142 [inlined] [12] exec_options(opts::Base.JLOptions) @ Base client.jl:353 [13] _start() @ Base client.jl:596 in expression starting at /home/pkgeval/.julia/packages/DistributionsAD/GAQrK/ext/DistributionsADReverseDiffExt.jl:127 in expression starting at /home/pkgeval/.julia/packages/DistributionsAD/GAQrK/ext/DistributionsADReverseDiffExt.jl:1 in expression starting at stdin:5 ┌ Error: Error during loading of extension DistributionsADReverseDiffExt of DistributionsAD, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ Failed to precompile DistributionsADReverseDiffExt [f5c92b6a-1dba-5bad-b8d3-af339927a739] to "/home/pkgeval/.julia/compiled/v1.14/DistributionsADReverseDiffExt/jl_PgiSLb" (ProcessExited(1)). │ Stacktrace: │ [1] error(s::String) │ @ Base error.jl:56 │ [2] compilecache(pkg::Base.PkgId, spec::Base.PkgLoadSpec, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, loadable_exts::Vector{Base.PkgId}, signal_channel::Nothing, pid_channel::Nothing, report_timing::Bool) │ @ Base loading.jl:3641 │ [3] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId, Base.PkgLoadSpec, Dict{String, Int64}, Base.RefValue{Bool}})() │ @ Base loading.jl:2901 │ [4] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId, Base.PkgLoadSpec, Dict{String, Int64}, Base.RefValue{Bool}}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool}) │ @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.14/FileWatching/src/pidfile.jl:97 │ [5] mkpidlock(f::Function, at::String; kwopts::@Kwargs{stale_age::Int64, wait::Bool}) │ @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.14/FileWatching/src/pidfile.jl:92 [inlined] │ [6] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64}) │ @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.14/FileWatching/src/pidfile.jl:118 │ [7] invokelatest_gr(::GlobalRef, ::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId, Base.PkgLoadSpec, Dict{String, Int64}, Base.RefValue{Bool}}, ::String; kwargs::@Kwargs{stale_age::Int64}) │ @ Base reflection.jl:1374 [inlined] │ [8] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId, Base.PkgLoadSpec, Dict{String, Int64}, Base.RefValue{Bool}}, pkg::Base.PkgId, srcpath::String; stale_age::Int64) │ @ Base loading.jl:4211 │ [9] __require_prelocked(pkg::Base.PkgId, env::Nothing) │ @ Base loading.jl:2862 │ [10] _require_prelocked(uuidkey::Base.PkgId, env::Nothing) │ @ Base loading.jl:2685 │ [11] run_extension_callbacks(extid::Base.ExtensionId) │ @ Base loading.jl:1769 │ [12] run_extension_callbacks(pkgid::Base.PkgId) │ @ Base loading.jl:1806 │ [13] run_package_callbacks(modkey::Base.PkgId) │ @ Base loading.jl:1622 │ [14] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base loading.jl:2693 │ [15] macro expansion │ @ loading.jl:2599 [inlined] │ [16] macro expansion │ @ lock.jl:376 [inlined] │ [17] __require(into::Module, mod::Symbol) │ @ Base loading.jl:2563 │ [18] require(into::Module, mod::Symbol) │ @ Base loading.jl:2539 [inlined] │ [19] eval_import_path(at::Module, from::Nothing, path::Expr, keyword::String) │ @ Base module.jl:36 [inlined] │ [20] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base module.jl:60 │ [21] _eval_using(to::Module, path::Expr, flags::UInt8) │ @ Base module.jl:137 [inlined] │ [22] top-level scope │ @ ~/.julia/packages/BarBay/sWzRG/test/utils_tests.jl:8 │ [23] include(mapexpr::Function, mod::Module, _path::String) │ @ Base Base.jl:326 │ [24] top-level scope │ @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:4 │ [25] macro expansion │ @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] │ [26] macro expansion │ @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:4 [inlined] │ [27] include(mapexpr::Function, mod::Module, _path::String) │ @ Base Base.jl:326 │ [28] top-level scope │ @ none:6 │ [29] eval(m::Module, e::Any) │ @ Core boot.jl:522 │ [30] exec_options(opts::Base.JLOptions) │ @ Base client.jl:321 │ [31] _start() │ @ Base client.jl:596 └ @ Base loading.jl:1779 ┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`. │ caller = AutoReverseDiff(compile::Bool) at legacy.jl:19 └ @ ADTypes ~/.julia/packages/ADTypes/PNQTa/src/legacy.jl:19 ┌ Warning: `AutoReverseDiff(compile)` is deprecated, use `AutoReverseDiff(; compile)` instead. │ caller = ip:0x0 └ @ Core :-1 [ Info: Pre-processing data... [ Info: Initialize Variational Inference Optimization... ┌ Info: [ADVI] Should only be seen once: optimizer created for θ └ objectid(θ) = 0xb2e27c43a6396d2d ┌ Warning: accessing `Type.name` is deprecated without replacement. If for detection, use `Base.isType(x)`. │ caller = ProgressMeter.Progress(n::Int64, dt::Int64, desc::String, barlen::Int64, color::Symbol, output::Base.PipeEndpoint; offset::Int64) at deprecated.jl:1 └ @ ProgressMeter ~/.julia/packages/ProgressMeter/N660J/src/deprecated.jl:1 Single Condition Data (data001): Error During Test at /home/pkgeval/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:18 Got exception outside of a @test MethodError: no method matching randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) The function `randn` exists, but no method is defined for this combination of argument types. Closest candidates are: randn(::Random.AbstractRNG, ::Type{T}, !Matched::NTuple{N, Int64} where N) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:269 randn(::Random.AbstractRNG, ::Type{T}, !Matched::Integer, !Matched::Integer...) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 randn(::Random.AbstractRNG, ::Type{!Matched{Tracker.TrackedReal{T}}}) where T @ Tracker ~/.julia/packages/Tracker/dLAzA/src/lib/real.jl:70 ... Stacktrace: [1] randn!(rng::Random.TaskLocalRNG, A::Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:230 [inlined] [2] randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, ::Int64) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 [inlined] [3] adapt_randn(rng::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:42 [inlined] [4] adapt_randn(rng::Random.TaskLocalRNG, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:39 [inlined] [5] rand(::Random.TaskLocalRNG, ::DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/multivariate.jl:139 [inlined] [6] rand_and_logjac(rng::Random.TaskLocalRNG, dist::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/utils.jl:12 [7] (::ELBO)(rng::Random.TaskLocalRNG, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/advi.jl:86 [8] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64; kwargs::@Kwargs{}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:4 [inlined] [9] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:3 [inlined] [10] (::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}})(θ::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:31 [11] ReverseDiff.GradientTape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}}, input::Vector{Float64}, cfg::ReverseDiff.GradientConfig{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:199 [12] ReverseDiff.GradientTape(f::Function, input::Vector{Float64}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:198 [13] tape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, <:Function, Tuple{Int64}}, x::Vector{Float64}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:18 [inlined] [14] grad!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}, out::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, args::Int64) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:35 [15] macro expansion @ ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:162 [inlined] [16] macro expansion @ timing.jl:505 [inlined] [17] optimize!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}; optimizer::TruncatedADAGrad) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:161 [18] vi(model::DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:136 [19] vi(model::DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:122 [20] advi(; data::DataFrame, outputname::Nothing, model::typeof(BarBay.model.fitness_normal), model_kwargs::Dict{Any, Any}, id_col::Symbol, time_col::Symbol, count_col::Symbol, neutral_col::Symbol, rep_col::Nothing, env_col::Nothing, genotype_col::Nothing, advi::ADVI{AutoReverseDiff{true}}, opt::TruncatedADAGrad, verbose::Bool) @ BarBay.vi ~/.julia/packages/BarBay/sWzRG/src/vi.jl:201 [21] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:18 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [23] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:20 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [25] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:26 [inlined] [26] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [27] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:4 [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [29] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:5 [inlined] [30] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [31] top-level scope @ none:6 [32] eval(m::Module, e::Any) @ Core boot.jl:522 [33] exec_options(opts::Base.JLOptions) @ Base client.jl:321 [34] _start() @ Base client.jl:596 [ Info: Pre-processing data... [ Info: Initialize Variational Inference Optimization... ┌ Info: [ADVI] Should only be seen once: optimizer created for θ └ objectid(θ) = 0x443acc2713c6b99d Hierarchical Replicates Data (data002): Error During Test at /home/pkgeval/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:62 Got exception outside of a @test MethodError: no method matching randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) The function `randn` exists, but no method is defined for this combination of argument types. Closest candidates are: randn(::Random.AbstractRNG, ::Type{T}, !Matched::NTuple{N, Int64} where N) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:269 randn(::Random.AbstractRNG, ::Type{T}, !Matched::Integer, !Matched::Integer...) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 randn(::Random.AbstractRNG, ::Type{!Matched{Tracker.TrackedReal{T}}}) where T @ Tracker ~/.julia/packages/Tracker/dLAzA/src/lib/real.jl:70 ... Stacktrace: [1] randn!(rng::Random.TaskLocalRNG, A::Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:230 [inlined] [2] randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, ::Int64) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 [inlined] [3] adapt_randn(rng::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:42 [inlined] [4] adapt_randn(rng::Random.TaskLocalRNG, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:39 [inlined] [5] rand(::Random.TaskLocalRNG, ::DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/multivariate.jl:139 [inlined] [6] rand_and_logjac(rng::Random.TaskLocalRNG, dist::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/utils.jl:12 [7] (::ELBO)(rng::Random.TaskLocalRNG, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{MvNormal{Int64, PDMats.PDiagMat{Int64, Vector{Int64}}, Vector{Int64}}}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.replicate_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Array{Int64, 3}, Matrix{Int64}, Int64, Int64}, NTuple{6, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/advi.jl:86 [8] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{MvNormal{Int64, PDMats.PDiagMat{Int64, Vector{Int64}}, Vector{Int64}}}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.replicate_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Array{Int64, 3}, Matrix{Int64}, Int64, Int64}, NTuple{6, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64; kwargs::@Kwargs{}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:4 [inlined] [9] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{MvNormal{Int64, PDMats.PDiagMat{Int64, Vector{Int64}}, Vector{Int64}}}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.replicate_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Array{Int64, 3}, Matrix{Int64}, Int64, Int64}, NTuple{6, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:3 [inlined] [10] (::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{MvNormal{Int64, PDMats.PDiagMat{Int64, Vector{Int64}}, Vector{Int64}}}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.replicate_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Array{Int64, 3}, Matrix{Int64}, Int64, Int64}, NTuple{6, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}})(θ::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:31 [inlined] [11] ReverseDiff.GradientTape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{MvNormal{Int64, PDMats.PDiagMat{Int64, Vector{Int64}}, Vector{Int64}}}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.replicate_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Array{Int64, 3}, Matrix{Int64}, Int64, Int64}, NTuple{6, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}}, input::Vector{Float64}, cfg::ReverseDiff.GradientConfig{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:199 [12] ReverseDiff.GradientTape(f::Function, input::Vector{Float64}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:198 [13] tape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, <:Function, Tuple{Int64}}, x::Vector{Float64}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:18 [inlined] [14] grad!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}, out::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, args::Int64) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:35 [15] macro expansion @ ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:162 [inlined] [16] macro expansion @ timing.jl:505 [inlined] [17] optimize!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}; optimizer::TruncatedADAGrad) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:161 [18] vi(model::DynamicPPL.Model{typeof(BarBay.model.replicate_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Array{Int64, 3}, Matrix{Int64}, Int64, Int64}, NTuple{6, Vector{Float64}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:136 [19] vi(model::DynamicPPL.Model{typeof(BarBay.model.replicate_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Array{Int64, 3}, Matrix{Int64}, Int64, Int64}, NTuple{6, Vector{Float64}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:122 [20] advi(; data::DataFrame, outputname::Nothing, model::typeof(BarBay.model.replicate_fitness_normal), model_kwargs::Dict{Any, Any}, id_col::Symbol, time_col::Symbol, count_col::Symbol, neutral_col::Symbol, rep_col::Symbol, env_col::Nothing, genotype_col::Nothing, advi::ADVI{AutoReverseDiff{true}}, opt::TruncatedADAGrad, verbose::Bool) @ BarBay.vi ~/.julia/packages/BarBay/sWzRG/src/vi.jl:201 [21] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:18 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [23] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:64 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [25] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:70 [inlined] [26] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [27] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:4 [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [29] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:5 [inlined] [30] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [31] top-level scope @ none:6 [32] eval(m::Module, e::Any) @ Core boot.jl:522 [33] exec_options(opts::Base.JLOptions) @ Base client.jl:321 [34] _start() @ Base client.jl:596 [ Info: Pre-processing data... [ Info: Initialize Variational Inference Optimization... ┌ Info: [ADVI] Should only be seen once: optimizer created for θ └ objectid(θ) = 0x51583e5ebd69b28f Multiple Environments Data (data003): Error During Test at /home/pkgeval/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:117 Got exception outside of a @test MethodError: no method matching randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) The function `randn` exists, but no method is defined for this combination of argument types. Closest candidates are: randn(::Random.AbstractRNG, ::Type{T}, !Matched::NTuple{N, Int64} where N) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:269 randn(::Random.AbstractRNG, ::Type{T}, !Matched::Integer, !Matched::Integer...) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 randn(::Random.AbstractRNG, ::Type{!Matched{Tracker.TrackedReal{T}}}) where T @ Tracker ~/.julia/packages/Tracker/dLAzA/src/lib/real.jl:70 ... Stacktrace: [1] randn!(rng::Random.TaskLocalRNG, A::Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:230 [inlined] [2] randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, ::Int64) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 [inlined] [3] adapt_randn(rng::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:42 [inlined] [4] adapt_randn(rng::Random.TaskLocalRNG, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:39 [inlined] [5] rand(::Random.TaskLocalRNG, ::DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/multivariate.jl:139 [inlined] [6] rand_and_logjac(rng::Random.TaskLocalRNG, dist::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/utils.jl:12 [7] (::ELBO)(rng::Random.TaskLocalRNG, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.multienv_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:envs, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{Int64}, Vararg{Vector{Float64}, 5}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/advi.jl:86 [8] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.multienv_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:envs, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{Int64}, Vararg{Vector{Float64}, 5}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64; kwargs::@Kwargs{}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:4 [inlined] [9] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.multienv_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:envs, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{Int64}, Vararg{Vector{Float64}, 5}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:3 [inlined] [10] (::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.multienv_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:envs, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{Int64}, Vararg{Vector{Float64}, 5}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}})(θ::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:31 [11] ReverseDiff.GradientTape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.multienv_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:envs, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{Int64}, Vararg{Vector{Float64}, 5}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}}, input::Vector{Float64}, cfg::ReverseDiff.GradientConfig{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:199 [12] ReverseDiff.GradientTape(f::Function, input::Vector{Float64}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:198 [13] tape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, <:Function, Tuple{Int64}}, x::Vector{Float64}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:18 [inlined] [14] grad!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}, out::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, args::Int64) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:35 [15] macro expansion @ ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:162 [inlined] [16] macro expansion @ timing.jl:505 [inlined] [17] optimize!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}; optimizer::TruncatedADAGrad) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:161 [18] vi(model::DynamicPPL.Model{typeof(BarBay.model.multienv_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:envs, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{Int64}, Vararg{Vector{Float64}, 5}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:136 [19] vi(model::DynamicPPL.Model{typeof(BarBay.model.multienv_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:envs, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{Int64}, Vararg{Vector{Float64}, 5}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:122 [20] advi(; data::DataFrame, outputname::Nothing, model::typeof(BarBay.model.multienv_fitness_normal), model_kwargs::Dict{Any, Any}, id_col::Symbol, time_col::Symbol, count_col::Symbol, neutral_col::Symbol, rep_col::Nothing, env_col::Symbol, genotype_col::Nothing, advi::ADVI{AutoReverseDiff{true}}, opt::TruncatedADAGrad, verbose::Bool) @ BarBay.vi ~/.julia/packages/BarBay/sWzRG/src/vi.jl:201 [21] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:18 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [23] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:119 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [25] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:125 [inlined] [26] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [27] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:4 [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [29] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:5 [inlined] [30] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [31] top-level scope @ none:6 [32] eval(m::Module, e::Any) @ Core boot.jl:522 [33] exec_options(opts::Base.JLOptions) @ Base client.jl:321 [34] _start() @ Base client.jl:596 [ Info: Pre-processing data... [ Info: Initialize Variational Inference Optimization... ┌ Info: [ADVI] Should only be seen once: optimizer created for θ └ objectid(θ) = 0x279d1540139f1fac Multiple Genotypes Data (data004): Error During Test at /home/pkgeval/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:150 Got exception outside of a @test MethodError: no method matching randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) The function `randn` exists, but no method is defined for this combination of argument types. Closest candidates are: randn(::Random.AbstractRNG, ::Type{T}, !Matched::NTuple{N, Int64} where N) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:269 randn(::Random.AbstractRNG, ::Type{T}, !Matched::Integer, !Matched::Integer...) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 randn(::Random.AbstractRNG, ::Type{!Matched{Tracker.TrackedReal{T}}}) where T @ Tracker ~/.julia/packages/Tracker/dLAzA/src/lib/real.jl:70 ... Stacktrace: [1] randn!(rng::Random.TaskLocalRNG, A::Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:230 [inlined] [2] randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, ::Int64) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 [inlined] [3] adapt_randn(rng::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:42 [inlined] [4] adapt_randn(rng::Random.TaskLocalRNG, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:39 [inlined] [5] rand(::Random.TaskLocalRNG, ::DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/multivariate.jl:139 [inlined] [6] rand_and_logjac(rng::Random.TaskLocalRNG, dist::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/utils.jl:12 [7] (::ELBO)(rng::Random.TaskLocalRNG, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.genotype_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:genotypes, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{String15}, Vararg{Vector{Float64}, 6}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/advi.jl:86 [8] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.genotype_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:genotypes, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{String15}, Vararg{Vector{Float64}, 6}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64; kwargs::@Kwargs{}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:4 [inlined] [9] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.genotype_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:genotypes, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{String15}, Vararg{Vector{Float64}, 6}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:3 [inlined] [10] (::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.genotype_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:genotypes, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{String15}, Vararg{Vector{Float64}, 6}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}})(θ::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:31 [11] ReverseDiff.GradientTape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, θ̲̃⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:θ̲̃⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logτ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logτ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.genotype_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:genotypes, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{String15}, Vararg{Vector{Float64}, 6}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}}, input::Vector{Float64}, cfg::ReverseDiff.GradientConfig{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:199 [12] ReverseDiff.GradientTape(f::Function, input::Vector{Float64}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:198 [13] tape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, <:Function, Tuple{Int64}}, x::Vector{Float64}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:18 [inlined] [14] grad!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}, out::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, args::Int64) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:35 [15] macro expansion @ ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:162 [inlined] [16] macro expansion @ timing.jl:505 [inlined] [17] optimize!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}; optimizer::TruncatedADAGrad) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:161 [18] vi(model::DynamicPPL.Model{typeof(BarBay.model.genotype_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:genotypes, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{String15}, Vararg{Vector{Float64}, 6}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:136 [19] vi(model::DynamicPPL.Model{typeof(BarBay.model.genotype_fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:genotypes, :s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior, :logτ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, Tuple{Vector{String15}, Vararg{Vector{Float64}, 6}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:122 [20] advi(; data::DataFrame, outputname::Nothing, model::typeof(BarBay.model.genotype_fitness_normal), model_kwargs::Dict{Any, Any}, id_col::Symbol, time_col::Symbol, count_col::Symbol, neutral_col::Symbol, rep_col::Nothing, env_col::Nothing, genotype_col::Symbol, advi::ADVI{AutoReverseDiff{true}}, opt::TruncatedADAGrad, verbose::Bool) @ BarBay.vi ~/.julia/packages/BarBay/sWzRG/src/vi.jl:201 [21] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:18 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [23] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:152 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [25] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:158 [inlined] [26] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [27] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:4 [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [29] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:5 [inlined] [30] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [31] top-level scope @ none:6 [32] eval(m::Module, e::Any) @ Core boot.jl:522 [33] exec_options(opts::Base.JLOptions) @ Base client.jl:321 [34] _start() @ Base client.jl:596 [ Info: Pre-processing data... [ Info: Initialize Variational Inference Optimization... ┌ Info: [ADVI] Should only be seen once: optimizer created for θ └ objectid(θ) = 0x51d43e57dc518c7d Output File Handling: Error During Test at /home/pkgeval/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:213 Got exception outside of a @test MethodError: no method matching randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) The function `randn` exists, but no method is defined for this combination of argument types. Closest candidates are: randn(::Random.AbstractRNG, ::Type{T}, !Matched::NTuple{N, Int64} where N) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:269 randn(::Random.AbstractRNG, ::Type{T}, !Matched::Integer, !Matched::Integer...) where T @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 randn(::Random.AbstractRNG, ::Type{!Matched{Tracker.TrackedReal{T}}}) where T @ Tracker ~/.julia/packages/Tracker/dLAzA/src/lib/real.jl:70 ... Stacktrace: [1] randn!(rng::Random.TaskLocalRNG, A::Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:230 [inlined] [2] randn(::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, ::Int64) @ Random /opt/julia/share/julia/stdlib/v1.14/Random/src/normal.jl:272 [inlined] [3] adapt_randn(rng::Random.TaskLocalRNG, ::Type{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:42 [inlined] [4] adapt_randn(rng::Random.TaskLocalRNG, x::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, dims::Int64) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/common.jl:39 [inlined] [5] rand(::Random.TaskLocalRNG, ::DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ DistributionsAD ~/.julia/packages/DistributionsAD/GAQrK/src/multivariate.jl:139 [inlined] [6] rand_and_logjac(rng::Random.TaskLocalRNG, dist::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/utils.jl:12 [7] (::ELBO)(rng::Random.TaskLocalRNG, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/advi.jl:86 [8] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64; kwargs::@Kwargs{}) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:4 [inlined] [9] (::ELBO)(alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, logπ::Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, num_samples::Int64) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/objectives.jl:3 [inlined] [10] (::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}})(θ::ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:31 [11] ReverseDiff.GradientTape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{s̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲ₜ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲ₜ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, s̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:s̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logσ̲⁽ᵐ⁾::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logσ̲⁽ᵐ⁾, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, logΛ̲̲::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}, Int64}, Vector{DiagNormal}, Vector{AbstractPPL.VarName{:logΛ̲̲, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, DynamicPPL.MiniBatchContext{DynamicPPL.DefaultContext, Float64}}}, Tuple{Int64}}, input::Vector{Float64}, cfg::ReverseDiff.GradientConfig{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:199 [12] ReverseDiff.GradientTape(f::Function, input::Vector{Float64}) @ ReverseDiff ~/.julia/packages/ReverseDiff/XfRVo/src/api/tape.jl:198 [13] tape(f::AdvancedVIReverseDiffExt.var"#f#f##0"{ELBO, ADVI{AutoReverseDiff{true}}, MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, <:Function, Tuple{Int64}}, x::Vector{Float64}) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:18 [inlined] [14] grad!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}, out::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, args::Int64) @ AdvancedVIReverseDiffExt ~/.julia/packages/AdvancedVI/Yd1Dv/ext/AdvancedVIReverseDiffExt.jl:35 [15] macro expansion @ ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:162 [inlined] [16] macro expansion @ timing.jl:505 [inlined] [17] optimize!(vo::ELBO, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}, model::Function, θ::Vector{Float64}; optimizer::TruncatedADAGrad) @ AdvancedVI ~/.julia/packages/AdvancedVI/Yd1Dv/src/AdvancedVI.jl:161 [18] vi(model::DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}, q::MultivariateTransformed{DistributionsAD.TuringDiagMvNormal{Vector{Float64}, Vector{Float64}}, Stacked{Vector{ComposedFunction{Bijectors.Reshape{1, 1}, ComposedFunction{typeof(identity), Bijectors.Reshape{1, 1}}}}, Vector{UnitRange{Int64}}}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:136 [19] vi(model::DynamicPPL.Model{typeof(BarBay.model.fitness_normal), (:R̲̲, :n̲ₜ, :n_neutral, :n_bc), (:s_pop_prior, :logσ_pop_prior, :s_bc_prior, :logσ_bc_prior, :logλ_prior), (), Tuple{Matrix{Int64}, Vector{Int64}, Int64, Int64}, NTuple{5, Vector{Float64}}, DynamicPPL.DefaultContext}, alg::ADVI{AutoReverseDiff{true}}; optimizer::TruncatedADAGrad) @ Turing.Variational ~/.julia/packages/Turing/vX5F9/src/variational/advi.jl:122 [20] advi(; data::DataFrame, outputname::String, model::typeof(BarBay.model.fitness_normal), model_kwargs::Dict{Any, Any}, id_col::Symbol, time_col::Symbol, count_col::Symbol, neutral_col::Symbol, rep_col::Nothing, env_col::Nothing, genotype_col::Nothing, advi::ADVI{AutoReverseDiff{true}}, opt::TruncatedADAGrad, verbose::Bool) @ BarBay.vi ~/.julia/packages/BarBay/sWzRG/src/vi.jl:201 [21] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:18 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [23] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:214 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [25] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/vi_tests.jl:219 [inlined] [26] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [27] top-level scope @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:4 [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [29] macro expansion @ ~/.julia/packages/BarBay/sWzRG/test/runtests.jl:5 [inlined] [30] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:326 [31] top-level scope @ none:6 [32] eval(m::Module, e::Any) @ Core boot.jl:522 [33] exec_options(opts::Base.JLOptions) @ Base client.jl:321 [34] _start() @ Base client.jl:596 Test Summary: | Pass Error Total Time BarBay.jl | 153 5 158 7m04.8s utils tests | 107 107 1m38.1s vi tests | 2 5 7 2m20.2s Single Condition Data (data001) | 1 1 1m14.0s Hierarchical Replicates Data (data002) | 1 1 39.1s Multiple Environments Data (data003) | 1 1 10.9s Multiple Genotypes Data (data004) | 1 1 13.9s Error Handling | 2 2 0.7s Output File Handling | 1 1 1.5s stats tests | 44 44 1m13.2s RNG of the outermost testset: Random.Xoshiro(0xc0706d19cd2a1574, 0xef915f35c614ae02, 0x31dc3ed8a08aa83f, 0x9a01dc6ac082a546, 0xbe7ecbe185afed9f) ERROR: LoadError: Some tests did not pass: 153 passed, 0 failed, 5 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/BarBay/sWzRG/test/runtests.jl:3 Testing failed after 441.77s ERROR: LoadError: Package BarBay 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 830.3s: package fails to precompile