Package evaluation of MCMCTempering on Julia 1.10.9 (96dc2d8c45*) started at 2025-06-06T20:15:58.647 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 4.9s ################################################################################ # Installation # Installing MCMCTempering... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [ce233488] + MCMCTempering v0.3.2 Updating `~/.julia/environments/v1.10/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 ⌅ [80f14c24] + AbstractMCMC v4.4.2 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.7 ⌅ [198e06fe] + BangBang v0.3.40 [9718e550] + Baselet v0.1.1 [d360d2e6] + ChainRulesCore v1.25.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.5.8 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.4 [7a1cc6ca] + FFTW v1.9.0 [1a297f60] + FillArrays v1.13.0 [34004b35] + HypergeometricFunctions v0.3.28 [22cec73e] + InitialValues v0.3.1 ⌅ [a98d9a8b] + Interpolations v0.15.1 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [5ab0869b] + KernelDensity v0.6.9 [b964fa9f] + LaTeXStrings v1.4.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0 [6fdf6af0] + LogDensityProblems v2.1.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 ⌅ [c7f686f2] + MCMCChains v6.0.7 [be115224] + MCMCDiagnosticTools v0.3.14 [ce233488] + MCMCTempering v0.3.2 [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 ⌅ [128add7d] + MicroCollections v0.1.4 [e1d29d7a] + Missings v1.2.0 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.4 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [5d786b92] + TerminalLoggers v0.1.7 ⌃ [28d57a85] + Transducers v0.4.80 [efce3f68] + WoodburyMatrices v1.0.0 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.1 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching [9fa8497b] + Future [b77e0a4c] + InteractiveUtils [4af54fe1] + LazyArtifacts [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.10.0 [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [1a1011a3] + SharedArrays [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.4.0+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [14a3606d] + MozillaCACerts_jll v2023.1.10 [4536629a] + OpenBLAS_jll v0.3.23+4 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.52.0+1 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 8.01s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.9/activate_set.jl:63 Precompiling package dependencies... Precompilation completed after 655.65s ################################################################################ # Testing # Testing MCMCTempering ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1829 Status `/tmp/jl_IdHDdu/Project.toml` ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [76274a88] Bijectors v0.10.8 [a93c6f00] DataFrames v1.7.0 [31c24e10] Distributions v0.25.120 [1a297f60] FillArrays v1.13.0 ⌅ [f6369f11] ForwardDiff v0.10.38 [6fdf6af0] LogDensityProblems v2.1.2 [996a588d] LogDensityProblemsAD v1.13.0 ⌅ [c7f686f2] MCMCChains v6.0.7 [be115224] MCMCDiagnosticTools v0.3.14 [ce233488] MCMCTempering v0.3.2 [efcf1570] Setfield v1.1.2 ⌅ [fce5fe82] Turing v0.24.4 [37e2e46d] LinearAlgebra [9a3f8284] Random [10745b16] Statistics v1.10.0 [8dfed614] Test Status `/tmp/jl_IdHDdu/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 ⌅ 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libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... WARNING: Method definition (::Type{Main.StateHistoryCallback{A, F} where F where A})(Any, Any) in module Main at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/utils.jl:17 overwritten at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/utils.jl:21. The temperature was sorted to ensure decreasing order. ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 434.236 │ :param_1 => 403.269 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 468.233 └ :param_1 => 441.538 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 434.236 │ :param_1 => 403.269 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 660.653 └ :param_1 => 940.896 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 434.236 │ :param_1 => 403.269 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 462.085 └ :param_1 => 457.393 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 434.236 │ :param_1 => 403.269 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 431.522 └ :param_1 => 432.748 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 434.236 │ :param_1 => 403.269 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 586.769 └ :param_1 => 456.519 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1473.29 │ :s => 1753.21 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1614.78 └ :s => 1911.18 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1473.29 │ :s => 1753.21 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1895.58 └ :s => 2457.64 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 215.087 │ :s => 369.855 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 293.249 └ :s => 416.634 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 215.087 │ :s => 369.855 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 949.747 └ :s => 1081.58 ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0268236733632106, 1.0, 0.10461377615328812) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1274184902454691, 1.118033988749895, 0.0791129870851441) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2950701977473162, 1.25, 0.09830660195997108) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.4387677102746845, 1.3975424859373684, 0.12407984632366098) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5194513468860924, 1.5624999999999998, 0.11363685756302674) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.8562127432192095, 1.7469281074217105, 0.14169096560753952) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9964725097485154, 1.9531249999999996, 0.15522519383392164) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.21128295305292, 2.183660134277138, 0.20604798776478936) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.620984291243579, 2.4414062499999996, 0.2345487485379388) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.8912552664539684, 2.729575167846422, 0.2700946054233689) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.52457174387113, 3.051757812499999, 0.4112570298734846) chain 11: Test Failed at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:71 Expression: all((isapprox(std(chain[sym]), std_true[sym], atol = atol[sym]) for sym = names(chain, :parameters))) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:672 [inlined] [2] test_std(chain::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{}}, std_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:71 [3] test_std @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:67 [inlined] [4] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:123 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1669 [inlined] [6] test_chains_with_monotonic_variance(chains::Vector{Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{}}}, mean_true::Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}, std_true::Vector{Dict{Symbol, Float64}}; significance::Float64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0339583414015583, 1.0, 0.07952841922138633) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0621722639186177, 1.118033988749895, 0.08280561897437745) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2524014883634031, 1.25, 0.09960670328620011) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.4521229686137502, 1.3975424859373684, 0.1271221628429792) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5606319525556314, 1.5624999999999998, 0.13388178354360586) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7694157975625182, 1.7469281074217105, 0.15804560549073424) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9980551974321843, 1.9531249999999996, 0.1782149407848949) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.2553316369429077, 2.183660134277138, 0.24393079283611724) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.4380129025029253, 2.4414062499999996, 0.21638943872216765) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.7693281518422115, 2.729575167846422, 0.3492475008932518) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.0453620625735844, 3.051757812499999, 0.3530580942719214) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.008284103701315, 1.0, 0.07247590617141908) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1279461179030223, 1.118033988749895, 0.08700865704078614) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1928690810734122, 1.25, 0.08824592107814251) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.419722375856519, 1.3975424859373684, 0.10954279743958009) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5877645375257203, 1.5624999999999998, 0.12445245556465957) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.787114238970865, 1.7469281074217105, 0.1301117927228113) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.936869742947759, 1.9531249999999996, 0.14718173823469083) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.261403595947623, 2.183660134277138, 0.16531286844172963) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.422993076979223, 2.4414062499999996, 0.19989223569281145) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.8217156819438376, 2.729575167846422, 0.27585902616990016) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.2472906736922145, 3.051757812499999, 0.3415261794724312) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.008284103701315, 1.0, 0.07247590617141908) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1279461179030223, 1.118033988749895, 0.08700865704078614) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1928690810734122, 1.25, 0.08824592107814251) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.419722375856519, 1.3975424859373684, 0.10954279743958009) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5877645375257203, 1.5624999999999998, 0.12445245556465957) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.787114238970865, 1.7469281074217105, 0.1301117927228113) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.936869742947759, 1.9531249999999996, 0.14718173823469083) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.261403595947623, 2.183660134277138, 0.16531286844172963) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.422993076979223, 2.4414062499999996, 0.19989223569281145) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.8217156819438376, 2.729575167846422, 0.27585902616990016) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.2472906736922145, 3.051757812499999, 0.3415261794724312) Test Summary: | Pass Fail Total Time MCMCTempering.jl | 1520 1 1521 4m36.1s Swapping | 34 34 1.8s Simple MvNormal with no expected swaps | 9 9 21.3s GMM 1D | 9 9 8.3s MvNormal 2D with different swap strategies | 53 53 44.8s Turing.jl | 26 26 2m04.7s AbstractMCMC | 1262 1262 29.9s Simple tempered Gaussian (closed form) | 127 1 128 45.0s TemperedSampler | 31 1 32 27.2s chain 1 | 2 2 13.2s chain 2 | 2 2 0.0s chain 3 | 2 2 0.0s chain 4 | 2 2 0.0s chain 5 | 2 2 0.0s chain 6 | 2 2 0.0s chain 7 | 2 2 0.0s chain 8 | 2 2 0.0s chain 9 | 2 2 0.0s chain 10 | 2 2 0.0s chain 11 | 1 1 2 3.1s MultiSampler without swapping | 32 32 6.3s MultiSampler with swapping (saveall=true) | 32 32 6.0s MultiSampler with swapping (saveall=true) | 32 32 4.9s ERROR: LoadError: Some tests did not pass: 1520 passed, 1 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/runtests.jl:186 Testing failed after 378.7s ERROR: LoadError: Package MCMCTempering errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Types.jl:70 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.10/Pkg/src/Operations.jl:2034 [3] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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::Base.PipeEndpoint}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:444 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::Base.PipeEndpoint, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1087.03s: package has test failures