Package evaluation to test BaytesMCMC on Julia 1.14.0-DEV.3106 (9d314127b9*) started at 2026-09-03T22:31:41.004 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.34s ################################################################################ # Installation # Installing BaytesMCMC... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [8e6e46a0] + BaytesMCMC v0.3.4 Updating `~/.julia/environments/v1.14/Manifest.toml` [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [e5a8efeb] + BaytesCore v0.2.0 [12a76ff9] + BaytesDiff v0.3.1 [8e6e46a0] + BaytesMCMC v0.3.4 ⌅ [76274a88] + Bijectors v0.13.18 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [9e997f8a] + ChangesOfVariables v0.1.11 [38540f10] + CommonSolve v0.2.14 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.6 [e2d170a0] + DataValueInterfaces v1.0.0 ⌃ [31c24e10] + Distributions v0.25.127 [ffbed154] + DocStringExtensions v0.9.5 [1a297f60] + FillArrays v1.17.0 ⌅ [d9f16b24] + Functors v0.4.12 [46192b85] + GPUArraysCore v0.2.0 ⌃ [a0844989] + Gamma v1.1.0 [34004b35] + HypergeometricFunctions v0.3.30 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 [e1d29d7a] + Missings v1.2.0 [44c54197] + ModelWrappers v0.5.6 [bac558e1] + OrderedCollections v2.0.1 [90014a1f] + PDMats v0.11.41 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 ⌅ [f2b01f46] + Roots v2.3.0 [ce78b400] + SimpleUnPack v1.1.0 [a2af1166] + SortingAlgorithms v1.2.3 [dc90abb0] + SparseInverseSubset v0.1.3 [276daf66] + SpecialFunctions v2.9.0 [10745b16] + Statistics v1.11.5 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 [4c63d2b9] + StatsFuns v2.2.1 [09ab397b] + StructArrays v0.7.3 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.8+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 5.28s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 5.2 s ✓ Bijectors → BijectorsForwardDiffExt 25.9 s ✓ Bijectors → BijectorsReverseDiffExt 3.9 s ✓ BaytesDiff → BaytesDiffForwardDiffExt 16.6 s ✓ BaytesDiff → BaytesDiffReverseDiffExt 5.5 s ✓ BaytesMCMC 72.0 s ✓ Zygote 8.8 s ✓ Bijectors → BijectorsZygoteExt 5.9 s ✓ BaytesDiff → BaytesDiffZygoteExt 8 dependencies successfully precompiled in 146 seconds. 158 already precompiled. Precompilation completed after 164.6s ################################################################################ # Testing # Testing BaytesMCMC Status `/tmp/jl_z6KaD8/Project.toml` [dce04be8] ArgCheck v2.5.0 [e5a8efeb] BaytesCore v0.2.0 [12a76ff9] BaytesDiff v0.3.1 [8e6e46a0] BaytesMCMC v0.3.4 ⌃ [31c24e10] Distributions v0.25.127 [ffbed154] DocStringExtensions v0.9.5 ⌃ [f6369f11] ForwardDiff v0.10.39 [44c54197] ModelWrappers v0.5.6 [37e2e3b7] ReverseDiff v1.17.0 [ce78b400] SimpleUnPack v1.1.0 [10745b16] Statistics v1.11.5 ⌃ [e88e6eb3] Zygote v0.6.77 [37e2e46d] LinearAlgebra v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_z6KaD8/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [a9b6321e] Atomix v1.1.3 [e5a8efeb] BaytesCore v0.2.0 [12a76ff9] BaytesDiff v0.3.1 [8e6e46a0] BaytesMCMC v0.3.4 ⌅ [76274a88] Bijectors v0.13.18 [fa961155] CEnum v0.5.0 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.1 [9e997f8a] ChangesOfVariables v0.1.11 [38540f10] CommonSolve v0.2.14 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.6 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 ⌃ [31c24e10] Distributions v0.25.127 [ffbed154] DocStringExtensions v0.9.5 [1a297f60] FillArrays v1.17.0 ⌃ [f6369f11] ForwardDiff v0.10.39 [069b7b12] FunctionWrappers v1.1.3 ⌅ [d9f16b24] Functors v0.4.12 [0c68f7d7] GPUArrays v11.5.13 [46192b85] GPUArraysCore v0.2.0 ⌃ [a0844989] Gamma v1.1.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.30 [7869d1d1] IRTools v0.4.20 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.8.0 [63c18a36] KernelAbstractions v0.9.42 [929cbde3] LLVM v9.13.1 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 [e1d29d7a] Missings v1.2.0 [44c54197] ModelWrappers v0.5.6 [77ba4419] NaNMath v1.1.4 [bac558e1] OrderedCollections v2.0.1 [90014a1f] PDMats v0.11.41 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.3 [c1ae055f] RealDot v0.1.0 [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 [7e506255] ScopedValues v1.6.2 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.3 [dc90abb0] SparseInverseSubset v0.1.3 [276daf66] SpecialFunctions v2.9.0 [90137ffa] StaticArrays v1.9.20 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.5 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.13 [4c63d2b9] StatsFuns v2.2.1 [09ab397b] StructArrays v0.7.3 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.14.0 [013be700] UnsafeAtomics v0.3.2 ⌃ [e88e6eb3] Zygote v0.6.77 [700de1a5] ZygoteRules v0.2.8 [dad2f222] LLVMExtra_jll v0.0.47+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.2+0 [0dad84c5] ArgTools v1.2.0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.12.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [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 v1.5.7+0 [deac9b47] LibCURL_jll v8.21.0+0 [e37daf67] LibGit2_jll v1.9.7+0 [29816b5a] LibSSH2_jll v1.11.104+0 [14a3606d] MozillaCACerts_jll v2026.8.13 [4536629a] OpenBLAS_jll v0.3.34+0 [05823500] OpenLibm_jll v0.8.8+0 [458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.48.0+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 v1.70.0+0 [3f19e933] p7zip_jll v17.8.2+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1426.48, Avg. final ℓposterior: -1426.48. NUTS sampler had 0 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1429.63, Avg. final ℓposterior: -1429.63. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.82, Avg. final ℓposterior: -1427.82. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.48, Avg. final ℓposterior: -1427.48. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.44, Avg. final ℓposterior: -1426.44. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.2, Avg. final ℓposterior: -1427.2. NUTS sampler had 1 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.5 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.16, Avg. final ℓposterior: -1426.16. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.73, Avg. final ℓposterior: -1426.73. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1425.95, Avg. final ℓposterior: -1425.95. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1425.96, Avg. final ℓposterior: -1425.96. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1425.96, Avg. final ℓposterior: -1425.96. NUTS sampler had 0 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.81, Avg. final ℓposterior: -1426.81. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.12, Avg. final ℓposterior: -1426.12. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.15, Avg. final ℓposterior: -1426.15. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.58, Avg. final ℓposterior: -1426.58. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1429.28, Avg. final ℓposterior: -1429.28. NUTS sampler had 0 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.32, Avg. final ℓposterior: -1426.32. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.98, Avg. final ℓposterior: -1426.98. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.92, Avg. final ℓposterior: -1427.92. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.32, Avg. final ℓposterior: -1427.32. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1428.58, Avg. final ℓposterior: -1428.58. NUTS sampler had 2 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.5 (1) number of steps and depth of 0.5 (0). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.58, Avg. final ℓposterior: -1428.58. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.58, Avg. final ℓposterior: -1428.58. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.58, Avg. final ℓposterior: -1428.58. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.05, Avg. final ℓposterior: -1427.05. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1448.79, Avg. final ℓposterior: -1448.79. NUTS sampler had 2 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 0.0 (0). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1448.79, Avg. final ℓposterior: -1448.79. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1448.79, Avg. final ℓposterior: -1448.79. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1448.79, Avg. final ℓposterior: -1448.79. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1426.06, Avg. final ℓposterior: -1426.06. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. NUTS sampler had 0 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. NUTS sampler had 1 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.5 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1428.01, Avg. final ℓposterior: -1428.01. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.81, Avg. final ℓposterior: -1427.81. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. NUTS sampler had 1 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 0.5 (0). Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. NUTS sampler had 2 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 0.0 (0). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. NUTS sampler had 2 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.5 (1) number of steps and depth of 0.5 (0). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. NUTS sampler had 2 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 0.0 (0). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.43. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 50.0%. Avg. initial ℓposterior: -1427.43, Avg. final ℓposterior: -1427.45. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.45, Avg. final ℓposterior: -1427.45. NUTS sampler had 0 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.45, Avg. final ℓposterior: -1427.45. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.45, Avg. final ℓposterior: -1427.45. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.45, Avg. final ℓposterior: -1427.45. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 50.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. NUTS sampler had 2 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 2.0 (2) number of steps and depth of 1.0 (1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. NUTS sampler had 1 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.5 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. NUTS sampler had 0 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.0 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. NUTS sampler had 1 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 1.5 (2) number of steps and depth of 1.0 (1). Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### NUTS parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 100.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. NUTS sampler had 1 divergent transitions. Average (final) stepsize of 0.1 (0.1) with 2.0 (1) number of steps and depth of 1.0 (1). Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 1, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### HMC parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. HMC sampler has average (final) stepsize of 0.1 (0.1) with 10.0 (10) number of steps. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### MALA parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. MALA sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 2, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Metropolis parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Metropolis sampler has average (final) stepsize of 0.1 (0.1). Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. ### Custom parameter target: (:μ, :σ) Sampler finished after 2 iterations with acceptance rates of 0.0%. Avg. initial ℓposterior: -1427.88, Avg. final ℓposterior: -1427.88. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Divergences in: Warmup: 0, Adaptionˢˡᵒʷ: 0, Adaptionᶠᵃˢᵗ: 0, Exploration: 0. Internal error: during type inference of init(Core.TypeEgal{BaytesMCMC.NUTS{R, D, C} where C<:BaytesMCMC.KineticEnergy where D<:BaytesDiff.AbstractDifferentiableTune where R<:BaytesDiff.ℓObjectiveResult}, BaytesMCMC.ConfigNUTS{BaytesMCMC.GaussianKineticEnergy{LinearAlgebra.Symmetric{Float64, Array{Float64, 2}}, LinearAlgebra.LowerTriangular{Float64, LinearAlgebra.Adjoint{Float64, Array{Float64, 2}}}}}, ModelWrappers.Objective{ModelWrappers.ModelWrapper{Main.MyBaseModel, NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, NamedTuple{(), Tuple{}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Array{Float64, 1}, ModelWrappers.Tagged{NamedTuple{(:μ, :σ), Tuple{Bool, Bool}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Float64}, BaytesDiff.AutomaticDiffTune{BaytesDiff.ADZygote, BaytesDiff.DiffOrderOne, Nothing}) Encountered unexpected error in runtime: TypeError(func=:typeassert, context="", expected=Union{Nothing, Array{Any, 1}, Core.SimpleVector}, got=Array{Core.MethodInstance, 1}(dims=(4,), mem=Memory{Core.MethodInstance}(4, 0x76a1e3d47ee0)[ MethodInstance _pullback(Zygote.Context{false}, typeof(ZygoteRules.literal_getfield), ModelWrappers.Objective{ModelWrappers.ModelWrapper{Main.MyBaseModel, NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, NamedTuple{(), Tuple{}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Array{Float64, 1}, ModelWrappers.Tagged{NamedTuple{(:μ, :σ), Tuple{Bool, Bool}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Float64}, Base.Val{:model}) from _pullback(ZygoteRules.AContext, typeof(ZygoteRules.literal_getfield), Any, Base.Val{f}) where {f}, MethodInstance _pullback(Zygote.Context{false}, typeof(Base.getproperty), ModelWrappers.Objective{ModelWrappers.ModelWrapper{Main.MyBaseModel, NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, NamedTuple{(), Tuple{}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Array{Float64, 1}, ModelWrappers.Tagged{NamedTuple{(:μ, :σ), Tuple{Bool, Bool}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Float64}, Symbol) from _pullback(ZygoteRules.AContext, Any, Any...), MethodInstance getproperty(ModelWrappers.Objective{ModelWrappers.ModelWrapper{Main.MyBaseModel, NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, NamedTuple{(), Tuple{}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Array{Float64, 1}, ModelWrappers.Tagged{NamedTuple{(:μ, :σ), Tuple{Bool, Bool}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Float64}, Symbol) from getproperty(Any, Symbol), MethodInstance rrule(typeof(Base.getproperty), ModelWrappers.Objective{ModelWrappers.ModelWrapper{Main.MyBaseModel, NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, NamedTuple{(), Tuple{}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Array{Float64, 1}, ModelWrappers.Tagged{NamedTuple{(:μ, :σ), Tuple{Bool, Bool}}, ModelWrappers.ParameterInfo{ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.ReConstructor{ModelWrappers.FlattenDefault{Float64, ModelWrappers.FlattenContinuous}, ModelWrappers.FlattenConstructor{ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##64"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}, ModelWrappers.var"#flatten_to_Real#construct_flatten##0"{Float64}}}}, ModelWrappers.var"#flatten_to_NamedTuple#construct_flatten##66"{ModelWrappers.var"#construct_flatten_Tuple#construct_flatten##54"{Tuple{ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2", ModelWrappers.var"#flatten_to_Real_AD#construct_flatten##2"}}}}, ModelWrappers.UnflattenConstructor{ModelWrappers.var"#unflatten_to_NamedTuple#construct_flatten##65"{NamedTuple{(:μ, :σ), Tuple{Float64, Float64}}, ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}, ModelWrappers.var"#unflatten_to_Real#construct_flatten##1"{Float64}}}}, ModelWrappers.var"#unflatten_to_NamedTupleAD#construct_flatten##67"{(:μ, :σ), ModelWrappers.var"#construct_unflatten_Tuple#construct_flatten##57"{Tuple{Int64, Int64}, Tuple{Int64, Int64}, Tuple{ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3", ModelWrappers.var"#unflatten_to_Real_AD#construct_flatten##3"}}}}}, ModelWrappers.TransformConstructor{NamedTuple{(:μ, :σ), Tuple{ModelWrappers.DistributionConstraint{Distributions.Normal{Float64}, ModelWrappers.Bijection{typeof(Base.identity), typeof(Base.identity)}}, ModelWrappers.DistributionConstraint{Distributions.Gamma{Float64}, ModelWrappers.Bijection{Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.log)}, Base.Fix{1, typeof(Base.Broadcast.broadcast), typeof(Base.exp)}}}}}}}}, Float64}, Symbol) from rrule(Any, Any...)])) ijl_type_error_rt at /source/src/rtutils.c:121:5 ijl_type_error at /source/src/rtutils.c:140:5 compute_edges! at ./../usr/share/julia/Compiler/src/typeinfer.jl:910:0 (pc: 55) finishinfer! at ./../usr/share/julia/Compiler/src/typeinfer.jl:751:0 (pc: 198) finish_nocycle at ./../usr/share/julia/Compiler/src/typeinfer.jl:303:0 (pc: 4) jfptr_finish_nocycle_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:5107:0 (pc: 262) typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1795:0 (pc: 106) typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:2074:0 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:2083:0 (pc: 16) jfptr_typeinf_ext_toplevel_5.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 jl_apply at /source/src/julia.h:2533:12 [inlined] jl_type_infer at /source/src/gf.c:482:35 jl_compile_method_very_internal at /source/src/gf.c:4082:20 _jl_invoke at /source/src/gf.c:4582:16 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 MCMC at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/src/Core/algorithm.jl:82:0 (pc: 12) MCMC at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/src/Core/algorithm.jl:70:0 (pc: 2) unknown function (ip: 0x76a25892667a) at (unknown file) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 macro expansion at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/test/test-construction.jl:34:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2247:0 [inlined] top-level scope at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/test/test-construction.jl:21:0 (pc: 249) jl_invoke_oneshot at /source/src/gf.c:4631:23 ijl_eval_thunk at /source/src/toplevel.c:764:18 jl_toplevel_eval_flex at /source/src/toplevel.c:716:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:688:27 ijl_toplevel_eval at /source/src/toplevel.c:786:12 ijl_toplevel_eval_in at /source/src/toplevel.c:831:13 eval at ./boot.jl:618:0 (pc: 1) include_string at ./loading.jl:3291:0 (pc: 140) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 _include at ./loading.jl:3353:0 (pc: 123) include at ./Base.jl:335:0 (pc: 1) IncludeInto at ./Base.jl:336:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 jl_apply at /source/src/julia.h:2533:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:829:21 eval_body at /source/src/interpreter.c:704:21 eval_body at /source/src/interpreter.c:712:21 eval_body at /source/src/interpreter.c:712:21 eval_body at /source/src/interpreter.c:712:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:1052:21 macro expansion at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/test/runtests.jl:23:0 (pc: 1) [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2247:0 (pc: 15) [inlined] top-level scope at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/test/runtests.jl:23:0 (pc: 147) ijl_eval_thunk at /source/src/toplevel.c:772:18 jl_toplevel_eval_flex at /source/src/toplevel.c:716:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:688:27 ijl_toplevel_eval at /source/src/toplevel.c:786:12 ijl_toplevel_eval_in at /source/src/toplevel.c:831:13 eval at ./boot.jl:618:0 (pc: 1) include_string at ./loading.jl:3291:0 (pc: 140) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 _include at ./loading.jl:3353:0 (pc: 123) include at ./Base.jl:335:0 (pc: 1) IncludeInto at ./Base.jl:336:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 jl_apply at /source/src/julia.h:2533:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:829:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:1052:21 top-level scope at none:6:0 (pc: 2) ijl_eval_thunk at /source/src/toplevel.c:772:18 jl_toplevel_eval_flex at /source/src/toplevel.c:716:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:688:27 ijl_toplevel_eval at /source/src/toplevel.c:786:12 ijl_toplevel_eval_in at /source/src/toplevel.c:831:13 eval at ./boot.jl:618:0 (pc: 1) __script_entry_eval at ./client.jl:106:0 [inlined] exec_options at ./client.jl:350:0 (pc: 426) _start at ./client.jl:695:0 (pc: 217) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 jl_apply at /source/src/julia.h:2533:12 [inlined] true_main at /source/src/jlapi.c:989:29 jl_repl_entrypoint at /source/src/jlapi.c:1156:15 main at /source/cli/loader_exe.c:117:15 unknown function (ip: 0x76a270d00249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S [63] signal 6 (-6): Aborted in expression starting at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/test/test-construction.jl:16 unknown function (ip: 0x76a270d63ebc) at /lib/x86_64-linux-gnu/libc.so.6 gsignal at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) abort at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) jl_type_infer at /source/src/gf.c:501:9 jl_compile_method_very_internal at /source/src/gf.c:4082:20 _jl_invoke at /source/src/gf.c:4582:16 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 MCMC at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/src/Core/algorithm.jl:82:0 (pc: 12) MCMC at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/src/Core/algorithm.jl:70:0 (pc: 2) unknown function (ip: 0x76a25892667a) at (unknown file) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 macro expansion at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/test/test-construction.jl:34:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2247:0 [inlined] top-level scope at /home/pkgeval/.julia/packages/BaytesMCMC/XNc2g/test/test-construction.jl:21:0 (pc: 249) jl_invoke_oneshot at /source/src/gf.c:4631:23 ijl_eval_thunk at /source/src/toplevel.c:764:18 jl_toplevel_eval_flex at /source/src/toplevel.c:716:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:688:27 ijl_toplevel_eval at /source/src/toplevel.c:786:12 ijl_toplevel_eval_in at /source/src/toplevel.c:831:13 eval at ./boot.jl:618:0 (pc: 1) include_string at ./loading.jl:3291:0 (pc: 140) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 _include at ./loading.jl:3353:0 (pc: 123) include at ./Base.jl:335:0 (pc: 1) IncludeInto at ./Base.jl:336:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 jl_apply at /source/src/julia.h:2533:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:829:21 eval_body at /source/src/interpreter.c:704:21 eval_body at /source/src/interpreter.c:712:21 eval_body at /source/src/interpreter.c:712:21 eval_body at /source/src/interpreter.c:712:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:1052:21 ijl_eval_thunk at /source/src/toplevel.c:772:18 jl_toplevel_eval_flex at /source/src/toplevel.c:716:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:688:27 ijl_toplevel_eval at /source/src/toplevel.c:786:12 ijl_toplevel_eval_in at /source/src/toplevel.c:831:13 eval at ./boot.jl:618:0 (pc: 1) include_string at ./loading.jl:3291:0 (pc: 140) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 _include at ./loading.jl:3353:0 (pc: 123) include at ./Base.jl:335:0 (pc: 1) IncludeInto at ./Base.jl:336:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 jl_apply at /source/src/julia.h:2533:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:829:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:1052:21 ijl_eval_thunk at /source/src/toplevel.c:772:18 jl_toplevel_eval_flex at /source/src/toplevel.c:716:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:688:27 ijl_toplevel_eval at /source/src/toplevel.c:786:12 ijl_toplevel_eval_in at /source/src/toplevel.c:831:13 eval at ./boot.jl:618:0 (pc: 1) __script_entry_eval at ./client.jl:106:0 [inlined] exec_options at ./client.jl:350:0 (pc: 426) _start at ./client.jl:695:0 (pc: 217) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 jl_apply at /source/src/julia.h:2533:12 [inlined] true_main at /source/src/jlapi.c:989:29 jl_repl_entrypoint at /source/src/jlapi.c:1156:15 main at /source/cli/loader_exe.c:117:15 unknown function (ip: 0x76a270d00249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S Allocations: 72435304 (Pool: 72434628; Big: 676); GC: 35 Testing failed after 172.05s ERROR: LoadError: Package BaytesMCMC errored during testing (received signal: 6) Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3298 [3] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval crashed after 406.28s: an internal error was encountered ################################################################################ # Bug reporting # The package crashed during testing (reason=internal), but PkgEval was unable to reproduce the crash under rr (status=crash, reason=abort). For debugging, here is the tail end of the rr log: > [dad2f222] LLVMExtra_jll v0.0.47+0 > [efe28fd5] OpenSpecFun_jll v0.5.6+0 > [f50d1b31] Rmath_jll v0.5.2+0 > [0dad84c5] ArgTools v1.2.0 > [56f22d72] Artifacts v1.11.0 > [2a0f44e3] Base64 v1.11.0 > [ade2ca70] Dates v1.11.0 > [8ba89e20] Distributed v1.12.0 > [f43a241f] Downloads v1.7.0 > [7b1f6079] FileWatching v1.11.0 > [b77e0a4c] InteractiveUtils v1.11.0 > [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 > [4af54fe1] LazyArtifacts v1.11.0 > [b27032c2] LibCURL v1.0.0 > [76f85450] LibGit2 v1.11.0 > [8f399da3] Libdl v1.11.0 > [37e2e46d] LinearAlgebra v1.14.0 > [56ddb016] Logging v1.11.0 > [d6f4376e] Markdown v1.11.0 > [ca575930] NetworkOptions v1.3.0 > [44cfe95a] Pkg v1.14.0 > [de0858da] Printf v1.11.0 > [9a3f8284] Random v1.11.0 > [ea8e919c] SHA v1.13.0 > [9e88b42a] Serialization v1.11.0 > [6462fe0b] Sockets v1.11.0 > [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 v1.5.7+0 > [deac9b47] LibCURL_jll v8.21.0+0 > [e37daf67] LibGit2_jll v1.9.7+0 > [29816b5a] LibSSH2_jll v1.11.104+0 > [14a3606d] MozillaCACerts_jll v2026.8.13 > [4536629a] OpenBLAS_jll v0.3.34+0 > [05823500] OpenLibm_jll v0.8.8+0 > [458c3c95] OpenSSL_jll v3.5.8+0 > [efcefdf7] PCRE2_jll v10.48.0+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 v1.70.0+0 > [3f19e933] p7zip_jll v17.8.2+0 > Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. > Testing Running tests... > Activating project at `~/.julia/environments/pkgeval` > Activating project at `/tmp/jl_MnZ7fL` > Switching execution to under rr > [FATAL src/Task.cc:3848:spawn() errno: EPERM] PTRACE_SEIZE failed for tid 48; child probably died before reaching SIGSTOP > Child's message: > === Start rr backtrace: > /home/pkgeval/.julia/artifacts/c73480318b081035ff316b4c4cc797feb1dcd626/bin/rr[0x556001] > /home/pkgeval/.julia/artifacts/c73480318b081035ff316b4c4cc797feb1dcd626/bin/rr[0x695feb] > /home/pkgeval/.julia/artifacts/c73480318b081035ff316b4c4cc797feb1dcd626/bin/rr(_ZN2rr4Task5spawnERNS_7SessionERNS_8ScopedFdEPS3_S5_PiRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERKSt6vectorISC_SaISC_EESJ_i+0xbf0)[0x64f170] > /home/pkgeval/.julia/artifacts/c73480318b081035ff316b4c4cc797feb1dcd626/bin/rr(_ZN2rr13RecordSessionC1ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERKSt6vectorIS6_SaIS6_EESD_RKNS_20DisableCPUIDFeaturesENS0_16SyscallBufferingEiNS_7BindCPUES8_PKNS_9TraceUuidEbbbb+0x317)[0x58b4b7] > /home/pkgeval/.julia/artifacts/c73480318b081035ff316b4c4cc797feb1dcd626/bin/rr(_ZN2rr13RecordSession6createERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EESB_RKNS_20DisableCPUIDFeaturesENS0_16SyscallBufferingEhNS_7BindCPUERKS7_PKNS_9TraceUuidEbbbbbb+0xc1e)[0x58c98e] > /home/pkgeval/.julia/artifacts/c73480318b081035ff316b4c4cc797feb1dcd626/bin/rr(_ZN2rr13RecordCommand3runERSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EE+0x66f)[0x57eb7f] > /home/pkgeval/.julia/artifacts/c73480318b081035ff316b4c4cc797feb1dcd626/bin/rr(main+0x181)[0x4d5e61] > /lib/x86_64-linux-gnu/libc.so.6(+0x2724a)[0x7883ffb9824a] > /lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0x85)[0x7883ffb98305] > /home/pkgeval/.julia/artifacts/c73480318b081035ff316b4c4cc797feb1dcd626/bin/rr[0x4d8955] > === End rr backtrace > > Testing failed after 28.76s > > ERROR: LoadError: Package BaytesMCMC errored during testing (received signal: 6) > Stacktrace: > [1] pkgerror(msg::String) > @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 > [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) > @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3298 > [3] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) > @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 > [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) > @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 > [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) > @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 > [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) > @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] > [7] top-level scope > @ /PkgEval.jl/scripts/evaluate.jl:221 > in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 > > PkgEval crashed after 134.95s: the process was aborted > > > ################################################################################ > # Bug reporting > # > > Finalizing trace... > > BugReporting completed after 31.16s > Uploaded rr trace to https://s3.amazonaws.com/julialang-reports/nanosoldier/pkgeval/rr/BaytesMCMC-1788460911.tar.zst