Package evaluation to test BayesInteractomics on Julia 1.14.0-DEV.3081 (21a70e450d*) started at 2026-09-02T13:00:07.482 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 32.92s ################################################################################ # Installation # Installing BayesInteractomics... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [07c96638] + BayesInteractomics v1.2.1 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.24.0 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 ⌅ [ec485272] + ArnoldiMethod v0.2.0 [7d9fca2a] + Arpack v0.5.4 [4fba245c] + ArrayInterface v7.30.1 [4c555306] + ArrayLayouts v1.12.2 [13072b0f] + AxisAlgorithms v1.1.0 [198e06fe] + BangBang v0.4.9 [9718e550] + Baselet v0.1.1 [b4ee3484] + BayesBase v1.5.9 [07c96638] + BayesInteractomics v1.2.1 [6e4b80f9] + BenchmarkTools v1.8.0 [d1d4a3ce] + BitFlags v0.1.10 [0f2f92aa] + BitSetTuples v1.1.5 [8e7c35d0] + BlockArrays v1.10.0 [336ed68f] + CSV v0.10.17 [d360d2e6] + ChainRulesCore v1.26.1 [0b6fb165] + ChunkCodecCore v1.0.2 [4c0bbee4] + ChunkCodecLibZlib v1.1.0 [55437552] + ChunkCodecLibZstd v1.0.0 [aaaa29a8] + Clustering v0.15.8 [6309b1aa] + 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[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 v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.8+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.70.0+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. To see why use `status --outdated -m` Info Packages marked with [deprecated] are no longer maintained. Use `status --deprecated -m` to see more information. Installation completed after 16.48s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 10.4 s ✓ Rocket 3.7 s ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 75.4 s ✓ XLSX 9.2 s ✓ MetaGraphsNext 4.6 s ✓ NearestNeighborDescent 3.8 s ✓ DomainIntegrals 4.9 s ✓ WilliamsonTransforms 5.1 s ✓ PolyaGammaHybridSamplers 4.7 s ✓ MvNormalCDF 8.4 s ✓ BayesBase 6.4 s ✓ MLDataDevices → MLUtilsExt 67.9 s ✓ Zygote 6.6 s ✓ LsqFit ERROR: LoadError: InitError: UndefVarError: `manifest_uuid_path` not defined in `Base` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] getproperty(x::Module, f::Symbol) @ Base Base_compiler.jl:51 [2] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:10 [3] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:823 [4] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:796 [5] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/env.jl:70 [6] init_context() @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/context.jl:139 [7] __init__() @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/C.jl:31 [8] run_module_init(mod::Module, i::Int64) @ Base loading.jl:1605 [9] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base loading.jl:1593 [10] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base loading.jl:1481 [11] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{Symbol, Int64}, DEPOT_PATH::Vector{String}) @ Base loading.jl:2347 [12] require(into::Module, mod::Symbol) @ Base loading.jl:2661 [inlined] [13] top-level scope @ ~/.julia/packages/PythonCall/5WGSP/ext/CategoricalArraysExt.jl:3 [14] include(mod::Module, _path::String) @ Base Base.jl:334 [15] top-level scope @ stdin:5 during initialization of module C in expression starting at /home/pkgeval/.julia/packages/PythonCall/5WGSP/ext/CategoricalArraysExt.jl:1 in expression starting at stdin:5 ✗ PythonCall → CategoricalArraysExt ERROR: LoadError: InitError: UndefVarError: `manifest_uuid_path` not defined in `Base` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] getproperty(x::Module, f::Symbol) @ Base Base_compiler.jl:51 [2] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:10 [3] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:823 [4] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:796 [5] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/env.jl:70 [6] init_context() @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/context.jl:139 [7] __init__() @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/C.jl:31 [8] run_module_init(mod::Module, i::Int64) @ Base loading.jl:1605 [9] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base loading.jl:1593 [10] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base loading.jl:1481 [11] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{Symbol, Int64}, DEPOT_PATH::Vector{String}) @ Base loading.jl:2347 [12] require(into::Module, mod::Symbol) @ Base loading.jl:2661 [inlined] [13] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/ScikitLearnAPI.jl:5 [14] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [15] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/MLJScikitLearnInterface.jl:11 [16] include(mod::Module, _path::String) @ Base Base.jl:334 [17] top-level scope @ stdin:5 during initialization of module C in expression starting at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/src/ScikitLearnAPI.jl:3 in expression starting at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/src/MLJScikitLearnInterface.jl:1 in expression starting at stdin:5 ✗ MLJScikitLearnInterface ERROR: LoadError: InitError: UndefVarError: `manifest_uuid_path` not defined in `Base` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] getproperty(x::Module, f::Symbol) @ Base Base_compiler.jl:51 [2] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:10 [3] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:823 [4] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:796 [5] macro expansion @ ~/.julia/packages/CondaPkg/0UqYV/src/env.jl:70 [6] init_context() @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/context.jl:139 [7] __init__() @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/C.jl:31 [8] run_module_init(mod::Module, i::Int64) @ Base loading.jl:1605 [9] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base loading.jl:1593 [10] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base loading.jl:1481 [11] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{Symbol, Int64}, DEPOT_PATH::Vector{String}) @ Base loading.jl:2347 [12] require(into::Module, mod::Symbol) @ Base loading.jl:2661 [inlined] [13] top-level scope @ ~/.julia/packages/MLCore/OdWCf/ext/MLCorePythonCallExt.jl:4 [14] include(mod::Module, _path::String) @ Base Base.jl:334 [15] top-level scope @ stdin:5 during initialization of module C in expression starting at /home/pkgeval/.julia/packages/MLCore/OdWCf/ext/MLCorePythonCallExt.jl:1 in expression starting at stdin:5 ✗ MLCore → MLCorePythonCallExt 111.5 s ✓ Plots 1.7 s ✓ Rocket → RocketObservablesExt 7.2 s ✓ ScientificTypes 17.9 s ✓ StatisticalMeasuresBase 3.2 s ✓ XLSX → StyledStringsSstsExt 10.8 s ✓ GraphPPL 7.4 s ✓ TSne 44.0 s ✓ Copulas 6.8 s ✓ BayesBase → FastCholeskyExt 7.5 s ✓ Zygote → ZygoteDistancesExt 6.0 s ✓ Zygote → ZygoteColorsExt 5.2 s ✓ MLDataDevices → ZygoteExt 5.4 s ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 7.0 s ✓ UMAP 18.2 s ✓ Plots → FileIOExt 18.2 s ✓ StatsPlots 6.5 s ✓ CategoricalDistributions 12.2 s ✓ MLJTransforms 10.6 s ✓ GraphPPL → GraphPPLDistributionsExt 9.2 s ✓ GraphPPL → GraphPPLPlottingExt 11.7 s ✓ ExponentialFamily 29.0 s ✓ Flux 38.7 s ✓ StatisticalMeasures 19.2 s ✓ MLJModels 12.0 s ✓ MLJEnsembles 14.1 s ✓ MLJBase 68.8 s ✓ ReactiveMP 12.0 s ✓ StatisticalMeasures → ScientificTypesExt 12.2 s ✓ MLJBase → DefaultMeasuresExt 13.7 s ✓ MLJBalancing 13.6 s ✓ MLJIteration 13.7 s ✓ MLJTuning 14.4 s ✓ MLJFlow 12.9 s ✓ ReactiveMP → ReactiveMPOptimisersExt 25.0 s ✓ RxInfer 21.4 s ✓ MLJ 22.4 s ✓ RxInfer → PrettyTablesExt 84.3 s ✓ BayesInteractomics 53.7 s ✓ BayesInteractomics → BayesInteractomicsEmbeddingsExt 57.7 s ✓ BayesInteractomics → BayesInteractomicsImputationExt ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("5ae90465-5518-4432-b9d2-8a1def2f0cab"), "MLJScikitLearnInterface") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=1, inline=true, opt_level=0) (cache not reused: 2 for different version of dependency already loaded) Stacktrace: [1] error(s::String) @ Base error.jl:56 [2] require(into::Module, mod::Symbol) @ Base loading.jl:2661 [inlined] [3] top-level scope @ ~/.julia/packages/BayesInteractomics/m4WLM/ext/BayesInteractomicsMetalearnerExt/BayesInteractomicsMetalearnerExt.jl:7 [4] include(mod::Module, _path::String) @ Base Base.jl:334 [5] top-level scope @ stdin:5 in expression starting at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/ext/BayesInteractomicsMetalearnerExt/BayesInteractomicsMetalearnerExt.jl:1 in expression starting at stdin:5 ✗ BayesInteractomics → BayesInteractomicsMetalearnerExt 59.3 s ✓ BayesInteractomics → BayesInteractomicsNetworkExt 54 dependencies successfully precompiled in 1246 seconds. 515 already precompiled. 4 dependencies had output during precompilation: ┌ PythonCall → CategoricalArraysExt │ ERROR: LoadError: InitError: UndefVarError: `manifest_uuid_path` not defined in `Base` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] getproperty(x::Module, f::Symbol) │ @ Base Base_compiler.jl:51 │ [2] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:10 │ [3] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:823 │ [4] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:796 │ [5] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/env.jl:70 │ [6] init_context() │ @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/context.jl:139 │ [7] __init__() │ @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/C.jl:31 │ [8] run_module_init(mod::Module, i::Int64) │ @ Base loading.jl:1605 │ [9] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base loading.jl:1593 │ [10] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base loading.jl:1481 │ [11] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{Symbol, Int64}, DEPOT_PATH::Vector{String}) │ @ Base loading.jl:2347 │ [12] require(into::Module, mod::Symbol) │ @ Base loading.jl:2661 [inlined] │ [13] top-level scope │ @ ~/.julia/packages/PythonCall/5WGSP/ext/CategoricalArraysExt.jl:3 │ [14] include(mod::Module, _path::String) │ @ Base Base.jl:334 │ [15] top-level scope │ @ stdin:5 │ during initialization of module C │ in expression starting at /home/pkgeval/.julia/packages/PythonCall/5WGSP/ext/CategoricalArraysExt.jl:1 │ in expression starting at stdin:5 └ ┌ MLCore → MLCorePythonCallExt │ ERROR: LoadError: InitError: UndefVarError: `manifest_uuid_path` not defined in `Base` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] getproperty(x::Module, f::Symbol) │ @ Base Base_compiler.jl:51 │ [2] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:10 │ [3] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:823 │ [4] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:796 │ [5] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/env.jl:70 │ [6] init_context() │ @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/context.jl:139 │ [7] __init__() │ @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/C.jl:31 │ [8] run_module_init(mod::Module, i::Int64) │ @ Base loading.jl:1605 │ [9] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base loading.jl:1593 │ [10] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base loading.jl:1481 │ [11] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{Symbol, Int64}, DEPOT_PATH::Vector{String}) │ @ Base loading.jl:2347 │ [12] require(into::Module, mod::Symbol) │ @ Base loading.jl:2661 [inlined] │ [13] top-level scope │ @ ~/.julia/packages/MLCore/OdWCf/ext/MLCorePythonCallExt.jl:4 │ [14] include(mod::Module, _path::String) │ @ Base Base.jl:334 │ [15] top-level scope │ @ stdin:5 │ during initialization of module C │ in expression starting at /home/pkgeval/.julia/packages/MLCore/OdWCf/ext/MLCorePythonCallExt.jl:1 │ in expression starting at stdin:5 └ ┌ MLJScikitLearnInterface │ ERROR: LoadError: InitError: UndefVarError: `manifest_uuid_path` not defined in `Base` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] getproperty(x::Module, f::Symbol) │ @ Base Base_compiler.jl:51 │ [2] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:10 │ [3] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:823 │ [4] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/resolve.jl:796 │ [5] macro expansion │ @ ~/.julia/packages/CondaPkg/0UqYV/src/env.jl:70 │ [6] init_context() │ @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/context.jl:139 │ [7] __init__() │ @ PythonCall.C ~/.julia/packages/PythonCall/5WGSP/src/C/C.jl:31 │ [8] run_module_init(mod::Module, i::Int64) │ @ Base loading.jl:1605 │ [9] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base loading.jl:1593 │ [10] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base loading.jl:1481 │ [11] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{Symbol, Int64}, DEPOT_PATH::Vector{String}) │ @ Base loading.jl:2347 │ [12] require(into::Module, mod::Symbol) │ @ Base loading.jl:2661 [inlined] │ [13] top-level scope │ @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/ScikitLearnAPI.jl:5 │ [14] include(mapexpr::Function, mod::Module, _path::String) │ @ Base Base.jl:335 │ [15] top-level scope │ @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/MLJScikitLearnInterface.jl:11 │ [16] include(mod::Module, _path::String) │ @ Base Base.jl:334 │ [17] top-level scope │ @ stdin:5 │ during initialization of module C │ in expression starting at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/src/ScikitLearnAPI.jl:3 │ in expression starting at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/src/MLJScikitLearnInterface.jl:1 │ in expression starting at stdin:5 └ ┌ BayesInteractomics → BayesInteractomicsMetalearnerExt │ ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("5ae90465-5518-4432-b9d2-8a1def2f0cab"), "MLJScikitLearnInterface") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=1, inline=true, opt_level=0) (cache not reused: 2 for different version of dependency already loaded) │ Stacktrace: │ [1] error(s::String) │ @ Base error.jl:56 │ [2] require(into::Module, mod::Symbol) │ @ Base loading.jl:2661 [inlined] │ [3] top-level scope │ @ ~/.julia/packages/BayesInteractomics/m4WLM/ext/BayesInteractomicsMetalearnerExt/BayesInteractomicsMetalearnerExt.jl:7 │ [4] include(mod::Module, _path::String) │ @ Base Base.jl:334 │ [5] top-level scope │ @ stdin:5 │ in expression starting at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/ext/BayesInteractomicsMetalearnerExt/BayesInteractomicsMetalearnerExt.jl:1 │ in expression starting at stdin:5 └ ERROR: LoadError: The following 4 packages failed to precompile: PythonCall → CategoricalArraysExt Failed to precompile CategoricalArraysExt [31b3f3e3-ae86-54d9-af8d-7b6c4c764516] to "/home/pkgeval/.julia/compiled/v1.14/CategoricalArraysExt/jl_rxdP3i" (ProcessExited(1)). MLCore → MLCorePythonCallExt Failed to precompile MLCorePythonCallExt [a39b8276-e6b1-5bba-bab9-84afa00813a4] to "/home/pkgeval/.julia/compiled/v1.14/MLCorePythonCallExt/jl_SpvqIy" (ProcessExited(1)). MLJScikitLearnInterface Failed to precompile MLJScikitLearnInterface [5ae90465-5518-4432-b9d2-8a1def2f0cab] to "/home/pkgeval/.julia/compiled/v1.14/MLJScikitLearnInterface/jl_ZbsjFv" (ProcessExited(1)). BayesInteractomics → BayesInteractomicsMetalearnerExt Failed to precompile BayesInteractomicsMetalearnerExt [2911256d-9950-56e1-bcb5-907cb130a7d7] to "/home/pkgeval/.julia/compiled/v1.14/BayesInteractomicsMetalearnerExt/jl_NhVmw1" (ProcessExited(1)). in expression starting at /PkgEval.jl/scripts/precompile.jl:34 Precompilation failed after 1283.19s ################################################################################ # Testing # Testing BayesInteractomics Status `/tmp/jl_XiBvsX/Project.toml` [4c88cf16] Aqua v0.8.16 [07c96638] BayesInteractomics v1.2.1 [6e4b80f9] BenchmarkTools v1.8.0 [336ed68f] CSV v0.10.17 [159f3aea] Cairo v1.1.1 [aaaa29a8] Clustering v0.15.8 [944b1d66] CodecZlib v0.7.9 ⌅ [5ae59095] Colors v0.12.11 [a81c6b42] Compose v0.9.7 ⌃ [ae264745] Copulas v0.1.29 [a93c6f00] DataFrames v1.8.2 [b4f34e82] Distances v0.10.12 ⌃ [31c24e10] Distributions v0.25.127 [587475ba] Flux v0.16.11 [38e38edf] GLM v1.9.5 ⌅ [a2cc645c] GraphPlot v0.5.2 ⌃ [86223c79] Graphs v1.9.0 [f67ccb44] HDF5 v0.17.3 [033835bb] JLD2 v0.6.6 [0f8b85d8] JSON3 v1.14.3 [deprecated] [b964fa9f] LaTeXStrings v1.4.1 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 ⌅ [add582a8] MLJ v0.22.0 [5ae90465] MLJScikitLearnInterface v0.7.0 [6f286f6a] MultivariateStats v0.10.5 ⌅ [429524aa] Optim v1.13.3 [92933f4c] ProgressMeter v1.11.0 [1fd47b50] QuadGK v2.11.3 ⌅ [86711068] RxInfer v4.7.3 [47aef6b3] SimpleWeightedGraphs v1.5.1 [276daf66] SpecialFunctions v2.9.0 [10745b16] Statistics v1.11.4 [2913bbd2] StatsBase v0.34.13 [f3b207a7] StatsPlots v0.15.8 [24678dba] TSne v1.4.0 [f8b46487] TestItemRunner v1.3.2 [ac1d9e8a] ThreadsX v0.1.12 ⌅ [c4f8c510] UMAP v0.1.11 ⌅ [fdbf4ff8] XLSX v0.11.11 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [f43a241f] Downloads v1.7.0 [4af54fe1] LazyArtifacts v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 Info Packages marked with [deprecated] are no longer maintained. Status `/tmp/jl_XiBvsX/Manifest.toml` [47edcb42] ADTypes v1.24.0 ⌃ [da404889] ARFFFiles v1.6.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.16 [dce04be8] ArgCheck v2.5.0 ⌅ [ec485272] ArnoldiMethod v0.2.0 [7d9fca2a] Arpack v0.5.4 [4fba245c] ArrayInterface v7.30.1 [4c555306] ArrayLayouts v1.12.2 [a9b6321e] Atomix v1.1.3 [13072b0f] AxisAlgorithms v1.1.0 [ab4f0b2a] BFloat16s v0.6.1 [198e06fe] BangBang v0.4.9 [9718e550] Baselet v0.1.1 [b4ee3484] BayesBase v1.5.9 [07c96638] BayesInteractomics v1.2.1 [6e4b80f9] BenchmarkTools v1.8.0 [50ba71b6] BitBasis v0.9.10 [d1d4a3ce] BitFlags v0.1.10 [0f2f92aa] BitSetTuples v1.1.5 [8e7c35d0] BlockArrays v1.10.0 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.17 [159f3aea] Cairo v1.1.1 [324d7699] CategoricalArrays v1.1.1 [af321ab8] CategoricalDistributions v0.2.2 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.1 [0b6fb165] ChunkCodecCore v1.0.2 [4c0bbee4] ChunkCodecLibZlib v1.1.0 [55437552] ChunkCodecLibZstd v1.0.0 [aaaa29a8] Clustering v0.15.8 [da1fd8a2] CodeTracking v3.0.2 [6309b1aa] CodecInflate64 v0.1.3 [944b1d66] CodecZlib v0.7.9 [35d6a980] ColorSchemes v3.31.0 ⌅ [3da002f7] ColorTypes v0.11.5 ⌃ [c3611d14] ColorVectorSpace v0.10.0 ⌅ [5ae59095] Colors v0.12.11 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.14 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.2.0 [34da2185] Compat v4.18.1 [a81c6b42] Compose v0.9.7 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.6.0 ⌃ [992eb4ea] CondaPkg v0.2.33 [187b0558] ConstructionBase v1.6.0 [d38c429a] Contour v0.6.3 ⌃ [ae264745] Copulas v0.1.29 [a8cc5b0e] Crayons v4.2.0 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons 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[458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.70.0+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. Info Packages marked with [deprecated] are no longer maintained. Testing Running tests... ┌ Warning: regression model changed; recompute │ cached_version = 18 │ expected = 19 └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/intermediate_cache.jl:404 ┌ Warning: Multi-protocol regression: pooled residual SD ≈ 6.45 log2 units is implausibly large (healthy ≈ 1.3). This usually means the protocols/experiments are on un-normalised intensity baselines, which inflate regression slopes and saturate bf_correlation. Consider reloading with `normalise_protocols=true` — it de-saturates the regression and leaves the HBM log2FC invariant. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/inference/models.jl:1983 ┌ Warning: 'Gamma' and 'GammaShapeScale' without keywords are constructed with parameters (Shape, Scale). └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/model/graphppl.jl:266 ┌ Warning: `_unsetindex!(A, i)` is deprecated, use `Base.unsetindex!(A, i)` instead. │ caller = pop!(q::DataStructures.Deque{Union{GraphPPL.ResolvedFactorizationConstraint, GraphPPL.ResolvedFunctionalFormConstraint}}) at deque.jl:279 └ @ DataStructures ~/.julia/packages/DataStructures/IrAJn/src/deque.jl:279 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 2 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 3 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 4 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 5 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 6 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 7 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 8 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 9 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 10 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 11 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 12 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 13 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 14 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 15 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 16 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 17 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 18 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 19 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 20 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 21 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 22 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 23 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 24 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 25 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 26 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 27 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 28 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 29 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 30 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 31 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 32 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 33 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 34 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 35 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 36 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 37 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 38 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 39 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 40 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 41 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 42 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 43 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 44 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 45 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 46 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 47 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 48 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 49 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 50 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 51 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 52 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 53 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 54 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 55 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 56 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 57 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 58 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 59 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 ┌ Warning: arm none protein 60 failed: UndefVarError(:tap, 0x000000000000a941, RxInfer) └ @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:170 scale-disparate arm reproduction (synthetic): Test Failed at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:173 Expression: length(bfs) >= 0.7 * (n_proteins - 1) Evaluated: 0 >= 41.3 Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [2] arm_stats(method::Symbol) @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:173 scale-disparate arm reproduction (synthetic): Error During Test at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:97 Got exception outside of a @test LoadError: ArgumentError: median of an empty array is undefined, Float64[] Stacktrace: [1] median!(v::Vector{Float64}) @ Statistics ~/.julia/packages/Statistics/51GQy/src/Statistics.jl:838 [2] _median(v::Vector{Float64}, ::Colon) @ Statistics ~/.julia/packages/Statistics/51GQy/src/Statistics.jl:904 [inlined] [3] median(v::Vector{Float64}; dims::Colon) @ Statistics ~/.julia/packages/Statistics/51GQy/src/Statistics.jl:900 [inlined] [4] arm_stats(method::Symbol) @ Main.var"##150" ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:174 [5] top-level scope @ ~/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:177 [6] eval(m::Module, e::Any) @ Core boot.jl:618 [7] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base loading.jl:3258 [8] include_string(m::Module, txt::String, fname::String) @ Base loading.jl:3268 [9] (::TestItemRunner.var"#run_testitem##6#run_testitem##7"{Module, String, String})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:258 [inlined] [10] withpath(f::TestItemRunner.var"#run_testitem##6#run_testitem##7"{Module, String, String}, path::String) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/vendored_code.jl:7 [11] (::TestItemRunner.var"#run_testitem##4#run_testitem##5"{Module, String, String})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:257 [inlined] [12] cd(f::TestItemRunner.var"#run_testitem##4#run_testitem##5"{Module, String, String}, dir::String) @ Base.Filesystem file.jl:113 [13] run_testitem(mod::Module, filepath::String, use_default_usings::Bool, setups::Vector{Symbol}, package_name::String, original_code::String, line::Int64, column::Int64, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:256 [14] run_testitem_in_testset(ts::Test.DefaultTestSet, testitem::@NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, package_name::String, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:298 [15] (::TestItemRunner.var"#run_node!##0#run_node!##1"{String, TestItemRunner.TestSetupModuleSet, Dict{Symbol, Any}, @NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, Test.DefaultTestSet})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:737 [inlined] [16] macro expansion @ ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2416 [inlined] [18] with_testset(f::TestItemRunner.var"#run_node!##0#run_node!##1"{String, TestItemRunner.TestSetupModuleSet, Dict{Symbol, Any}, @NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, Test.DefaultTestSet}, ts::Test.DefaultTestSet) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702 in expression starting at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/analysis/test_normalisation_e2e_desaturation.jl:177 [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... ┌ Warning: `LocationScale` is deprecated. Use `+` and `*` instead │ caller = ip:0x0 └ @ Core :-1 [ Info: BMA: [Step 1/3] EM completed in 63.7s [ Info: BMA: [Step 2/3] Running copula evidence combination... [ Info: BMA: [Step 2/3] Copula completed in 16.8s [ Info: BMA: [Step 3/3] Computing stacking weights... ┌ Warning: `logsumexp(x::Real, y::Real)` is deprecated, use `logaddexp(x, y)` instead. │ caller = (::BayesInteractomics.var"#neg_mean_log_score#stacking_weights##0"{Vector{Float64}, Vector{Float64}, Int64})(w::Float64) at bma.jl:148 └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/bma.jl:148 ablation byte-identical full default path: Test Failed at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_ablation_knobs.jl:48 Expression: isapprox(result.posterior_prob[nonbait], REFERENCE_POSTERIOR_FULL[nonbait]; atol = 1.0e-9) Evaluated: isapprox([2.7283660015346387e-21, 2.728366001533553e-21, 2.728859730965643e-21, 2.728366001533553e-21, 2.7283660015335727e-21, 2.728366001533553e-21, 2.728366001533553e-21, 1.233436326988747e-9, 9.02932771049217e-13, 9.511489987641163e-9 … 1.0, 0.9999825685374, 1.0, 1.0, 1.0, 1.0, 0.9981904711828635, 1.0, 1.0, 1.0], [2.7283660014916976e-21, 2.7283660014906508e-21, 2.7288583822863013e-21, 2.7283660014906508e-21, 2.72836600149067e-21, 2.7283660014906508e-21, 2.7283660014906508e-21, 1.2193089506030952e-9, 9.072917230110911e-13, 9.799222890171378e-9 … 1.0, 0.9999829425374404, 1.0, 1.0, 1.0, 1.0, 0.9982196902088081, 1.0, 1.0, 1.0]; atol = 1.0e-9) Stacktrace: [1] top-level scope @ ~/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_ablation_knobs.jl:560 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... [ Info: BMA: [Step 1/3] EM completed in 6.9s [ Info: BMA: [Step 2/3] Running copula evidence combination... [ Info: BMA: [Step 2/3] Copula completed in 6.7s [ Info: BMA: [Step 3/3] Computing stacking weights... [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... [ Info: BMA: [Step 1/3] EM completed in 7.0s [ Info: BMA: [Step 2/3] Running copula evidence combination... [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... [ Info: BMA: [Step 1/3] EM completed in 6.8s [ Info: BMA: [Step 2/3] Running copula evidence combination... [ Info: BMA: [Step 2/3] Copula completed in 0.5s [ Info: BMA: [Step 3/3] Computing stacking weights... [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... [ Info: BMA: [Step 1/3] EM completed in 7.1s [ Info: BMA: [Step 2/3] Running copula evidence combination... ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: KS auto-upgrade: no TDist improved over Normal (KS=0.17680808690732286); keeping Normal └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2675 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 [ Info: BMA: [Step 2/3] Copula completed in 14.9s [ Info: BMA: [Step 3/3] Computing stacking weights... ablation copula_family=FrankCopula forces Frank at H0 AND H1 (ABL-P3): Test Failed at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_ablation_knobs.jl:172 Expression: cop.h0_copula_family == "FrankCopula" Evaluated: "IndependentCopula" == "FrankCopula" Stacktrace: [1] top-level scope @ ~/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_ablation_knobs.jl:560 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... [ Info: BMA: [Step 1/3] EM completed in 6.6s [ Info: BMA: [Step 2/3] Running copula evidence combination... ┌ Warning: KS auto-upgrade: no TDist improved over Normal (KS=0.17680808690732286); keeping Normal └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2675 [ Info: BMA: [Step 2/3] Copula completed in 13.1s [ Info: BMA: [Step 3/3] Computing stacking weights... [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... [ Info: BMA: [Step 1/3] EM completed in 7.8s [ Info: BMA: [Step 2/3] Running copula evidence combination... ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: KS auto-upgrade: no TDist improved over Normal (KS=0.17680808690732286); keeping Normal └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2675 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 ┌ Warning: Forced copula family fit failed (Copulas.FrankCopula); using independence copula │ exception = AssertionError: The generator you provided is not d-monotonous according to its max_monotonicity property, and thus this copula does not exists. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2805 [ Info: BMA: [Step 2/3] Copula completed in 1.1s [ Info: BMA: [Step 3/3] Computing stacking weights... ablation all four families forceable through :bma default path (ABL-P3): Test Failed at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_ablation_knobs.jl:199 Expression: cop.h0_copula_family == name Evaluated: "IndependentCopula" == "FrankCopula" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] [2] top-level scope @ ~/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_ablation_knobs.jl:199 [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... [ Info: BMA: [Step 1/3] EM completed in 6.7s [ Info: BMA: [Step 2/3] Running copula evidence combination... ┌ Warning: KS auto-upgrade: no TDist improved over Normal (KS=0.17680808690732286); keeping Normal └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2675 [ Info: BMA: [Step 2/3] Copula completed in 13.5s [ Info: BMA: [Step 3/3] Computing stacking weights... [ Info: BMA: [Step 1/3] Running 3-component EM (n=200 proteins)... [ Info: BMA: [Step 1/3] EM completed in 6.9s [ Info: BMA: [Step 2/3] Running copula evidence combination... ┌ Warning: KS auto-upgrade: no TDist improved over Normal (KS=0.17680808690732286); keeping Normal └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2675 [ Info: BMA: [Step 2/3] Copula completed in 13.0s [ Info: BMA: [Step 3/3] Computing stacking weights... [ Info: fit_beta_mixture (analytical): 1645.3ms avg [ Info: Analytical gradient: 1731.7μs per eval (n=5000, K=3) ┌ Warning: Enrichment: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:574 ┌ Warning: Correlation: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:575 ┌ Warning: Detection: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:576 [ Info: BMA: [Step 1/3] Running 3-component EM (n=100 proteins)... [ Info: BMA: [Step 1/3] EM completed in 3.7s [ Info: BMA: [Step 2/3] Running copula evidence combination... ┌ Warning: Too few observations (31 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 ┌ Warning: Too few observations (31 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 ┌ Warning: Too few observations (31 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 ┌ Warning: Too few observations (31 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 [ Info: BMA: [Step 2/3] Copula completed in 0.0s [ Info: BMA: [Step 3/3] Computing stacking weights... [ Info: BMA: [Step 1/3] Running 3-component EM (n=80 proteins)... [ Info: BMA: [Step 1/3] EM completed in 3.0s [ Info: BMA: [Step 2/3] Running copula evidence combination... ┌ Warning: Too few observations (46 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 ┌ Warning: Too few observations (46 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 ┌ Warning: Too few observations (46 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 ┌ Warning: Too few observations (46 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 [ Info: BMA: [Step 2/3] Copula completed in 0.0s [ Info: BMA: [Step 3/3] Computing stacking weights... [ Info: BMA: [Step 1/3] Running 3-component EM (n=100 proteins)... [ Info: BMA: [Step 1/3] EM completed in 3.9s [ Info: BMA: [Step 2/3] Running copula evidence combination... [ Info: BMA: [Step 2/3] Copula completed in 0.0s [ Info: BMA: [Step 3/3] Computing stacking weights... ┌ Warning: Unknown experiment type 'unknown_type', using default prior └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:255 ┌ Warning: precompute_h0(bf, H0_file) is deprecated. Use precompute_h0(bf, phase1_result) instead. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:1331 ┌ Warning: `logsumexp(x::Real, y::Real)` is deprecated, use `logaddexp(x, y)` instead. │ caller = _broadcast_getindex_evalf(::typeof(LogExpFunctions.logsumexp), ::Float64, ::Float64) at broadcast.jl:703 [inlined] └ @ Base.Broadcast broadcast.jl:703 ┌ Warning: KS auto-upgrade: no TDist improved over Normal (KS=0.1625432535663851); keeping Normal └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2675 ┌ Warning: Too few observations (10 < 50) for copula fitting; using independence copula └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2823 [ Info: BMA: [Step 1/3] Running 3-component EM (n=350 proteins)... [ Info: BMA: [Step 1/3] EM completed in 21.2s [ Info: BMA: [Step 2/3] Running copula evidence combination... ┌ Warning: KS auto-upgrade: no TDist improved over Normal (KS=0.17732132407058737); keeping Normal └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:2675 [ Info: BMA: [Step 2/3] Copula completed in 1.6s [ Info: BMA: [Step 3/3] Computing stacking weights... ┌ Warning: Grid marginalization: dominant BIC weight 1.0 at grid point 1 -- averaging provides limited robustness └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/empirical_bayes.jl:357 Step 1: Computing Beta-Bernoulli Bayes factors... 40%|████████ | ETA: 0:00:03 ( 1.08 s/it) Step 1: Computing Beta-Bernoulli Bayes factors... 100%|████████████████████| Time: 0:00:02 ( 0.51 s/it) ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 computeH0_BayesFactors produces valid H0 DataFrame: Error During Test at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_h0_sampling.jl:133 Got exception outside of a @test LoadError: UndefVarError: `tap` not defined in `RxInfer` Hint: It looks like two or more modules export different bindings with this name, resulting in ambiguity. Try explicitly importing it from a particular module, or qualifying the name with the module it should come from. Hint: a global variable of this name also exists in Base. Stacktrace: [1] ensure_update(model::RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, ::Nothing, variable_name::Symbol, updated::RxInfer.MarginalHasBeenUpdated) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:70 [2] (::RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing})(::Pair{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/batch.jl:265 [3] iterate(::Base.Generator{Dict{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}, RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing}}) @ Base generator.jl:49 [inlined] [4] grow_to!(dest::Dict{Any, Any}, itr::Base.Generator{Dict{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}, RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing}}) @ Base abstractdict.jl:593 [5] dict_with_eltype(DT_apply::Base.var"#Dict##0#Dict##1", kv::Base.Generator{Dict{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}, RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing}}, t::Core.TypeEgal{Any}) @ Base abstractdict.jl:647 [inlined] [6] Dict(kv::Base.Generator{Dict{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}, RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing}}) @ Base dict.jl:117 [7] batch_inference(; model::GraphPPL.ModelGenerator{typeof(BayesInteractomics.HierarchicalBayesianModelSingle), @Kwargs{μ::Float64, σ::Float64, a::Float64, b::Float64}, GraphPPL.PluginsCollection{Tuple{}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}, data::@NamedTuple{samples::Matrix{Missing}, controls::Matrix{Missing}}, initialization::RxInfer.InitSpecification, constraints::GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}, meta::Nothing, options::Nothing, returnvars::RxInfer.KeepLast, predictvars::Nothing, iterations::Int64, free_energy::Bool, free_energy_diagnostics::Tuple{RxInfer.ObjectiveDiagnosticCheckNaNs, RxInfer.ObjectiveDiagnosticCheckInfs}, allow_node_contraction::Bool, showprogress::Bool, callbacks::Nothing, addons::Nothing, postprocess::RxInfer.DefaultPostprocess, warn::Bool, catch_exception::Bool) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/batch.jl:265 [8] (::RxInfer.var"#302#303"{GraphPPL.ModelGenerator{typeof(BayesInteractomics.HierarchicalBayesianModelSingle), @Kwargs{μ::Float64, σ::Float64, a::Float64, b::Float64}, GraphPPL.PluginsCollection{Tuple{}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}, @NamedTuple{samples::Matrix{Missing}, controls::Matrix{Missing}}, Nothing, Nothing, RxInfer.InitSpecification, GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}, Nothing, Nothing, RxInfer.KeepLast, Nothing, Nothing, Nothing, Int64, Bool, Tuple{RxInfer.ObjectiveDiagnosticCheckNaNs, RxInfer.ObjectiveDiagnosticCheckInfs}, Bool, Bool, Bool, Nothing, Nothing, RxInfer.DefaultPostprocess, Nothing, Bool, Bool, Bool})(invoke::RxInfer.SessionInvoke) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:545 [inlined] [9] with_session(f::RxInfer.var"#302#303"{GraphPPL.ModelGenerator{typeof(BayesInteractomics.HierarchicalBayesianModelSingle), @Kwargs{μ::Float64, σ::Float64, a::Float64, b::Float64}, GraphPPL.PluginsCollection{Tuple{}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}, @NamedTuple{samples::Matrix{Missing}, controls::Matrix{Missing}}, Nothing, Nothing, RxInfer.InitSpecification, GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}, Nothing, Nothing, RxInfer.KeepLast, Nothing, Nothing, Nothing, Int64, Bool, Tuple{RxInfer.ObjectiveDiagnosticCheckNaNs, RxInfer.ObjectiveDiagnosticCheckInfs}, Bool, Bool, Bool, Nothing, Nothing, RxInfer.DefaultPostprocess, Nothing, Bool, Bool, Bool}, session::RxInfer.Session, label::Symbol) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/session.jl:253 [10] infer(; model::GraphPPL.ModelGenerator{typeof(BayesInteractomics.HierarchicalBayesianModelSingle), @Kwargs{μ::Float64, σ::Float64, a::Float64, b::Float64}, GraphPPL.PluginsCollection{Tuple{}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}, data::@NamedTuple{samples::Matrix{Missing}, controls::Matrix{Missing}}, datastream::Nothing, autoupdates::Nothing, initialization::RxInfer.InitSpecification, initmessages::Nothing, initmarginals::Nothing, constraints::GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}, meta::Nothing, options::Nothing, returnvars::RxInfer.KeepLast, predictvars::Nothing, historyvars::Nothing, keephistory::Nothing, iterations::Int64, free_energy::Bool, free_energy_diagnostics::Tuple{RxInfer.ObjectiveDiagnosticCheckNaNs, RxInfer.ObjectiveDiagnosticCheckInfs}, allow_node_contraction::Bool, showprogress::Bool, catch_exception::Bool, callbacks::Nothing, addons::Nothing, postprocess::RxInfer.DefaultPostprocess, events::Nothing, uselock::Bool, autostart::Bool, warn::Bool, session::RxInfer.Session) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:515 [inlined] [11] precompute_HBM_single_protocol_prior(data::BayesInteractomics.InteractionData{Float64, Int64}; μ_0::Float64, σ_0::Float64, a_0::Float64, b_0::Float64) @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/inference/models.jl:340 [12] precompute_enrichment_prior(data::BayesInteractomics.InteractionData{Float64, Int64}; μ_0::Float64, σ_0::Float64, a_0::Float64, b_0::Float64) @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/inference/models.jl:2550 [inlined] [13] computeH0_BayesFactors(data::BayesInteractomics.InteractionData{Float64, Int64}; n_controls::Int64, n_samples::Int64, refID::Int64, n::Int64, regression_likelihood::Symbol, student_t_nu::Float64, hbm_iterations::Int64, regression_iterations::Int64, regression_bf_threshold::Float64, h0_cache_file::String, jzs_r_scale::Float64, regression_min_posterior_var::Float64, detected_mask::Nothing) @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/copula.jl:689 [14] top-level scope @ ~/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_h0_sampling.jl:145 [15] eval(m::Module, e::Any) @ Core boot.jl:618 [16] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base loading.jl:3258 [17] include_string(m::Module, txt::String, fname::String) @ Base loading.jl:3268 [18] (::TestItemRunner.var"#run_testitem##6#run_testitem##7"{Module, String, String})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:258 [inlined] [19] withpath(f::TestItemRunner.var"#run_testitem##6#run_testitem##7"{Module, String, String}, path::String) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/vendored_code.jl:7 [20] (::TestItemRunner.var"#run_testitem##4#run_testitem##5"{Module, String, String})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:257 [inlined] [21] cd(f::TestItemRunner.var"#run_testitem##4#run_testitem##5"{Module, String, String}, dir::String) @ Base.Filesystem file.jl:113 [22] run_testitem(mod::Module, filepath::String, use_default_usings::Bool, setups::Vector{Symbol}, package_name::String, original_code::String, line::Int64, column::Int64, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:256 [23] run_testitem_in_testset(ts::Test.DefaultTestSet, testitem::@NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, package_name::String, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:298 [24] (::TestItemRunner.var"#run_node!##0#run_node!##1"{String, TestItemRunner.TestSetupModuleSet, Dict{Symbol, Any}, @NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, Test.DefaultTestSet})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:737 [inlined] [25] macro expansion @ ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2416 [inlined] [27] with_testset(f::TestItemRunner.var"#run_node!##0#run_node!##1"{String, TestItemRunner.TestSetupModuleSet, Dict{Symbol, Any}, @NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, Test.DefaultTestSet}, ts::Test.DefaultTestSet) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702 in expression starting at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/combination/test_h0_sampling.jl:145 ┌ Warning: Grid marginalization: dominant BIC weight 0.999 at grid point 4 -- averaging provides limited robustness └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/empirical_bayes.jl:357 ┌ Warning: Enrichment: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:574 ┌ Warning: Correlation: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:575 ┌ Warning: Detection: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:576 ┌ Warning: Detection: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:576 ┌ Warning: Detection: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:576 ┌ Warning: Detection: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:576 ┌ Warning: Detection: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:576 ┌ Warning: EB auto-prior: Dirichlet estimation did not converge (1000 iterations), using clamped estimate └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/combination/latent_class.jl:1841 ┌ Warning: Detection: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:576 ┌ Warning: Detection: Check that Bayes Factors are used and not posterior probabilities. └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/types.jl:576 [ Info: Beta-Bernoulli cache hit! Using results from 2026-09-02T13:43:39.796 [ Info: HBM+Regression cache hit! Using results from 2026-09-02T13:43:40.350 [ Info: H0 cache hit! Using null distribution from 2026-09-02T13:43:43.739 [ Info: Beta-Bernoulli cache hit! Using results from 2026-09-02T13:43:45.486 [ Info: Excluded 0/50 proteins (not detected in any sample) Step 1: Computing Beta-Bernoulli Bayes factors... 4%|▆ | ETA: 0:00:02 (50.86 ms/it) Step 1: Computing Beta-Bernoulli Bayes factors... 100%|████████████████████| Time: 0:00:00 ( 2.05 ms/it) [ Info: Precomputing prior distributions... ┌ Error: We encountered an error during inference, here are some helpful resources to get you back on track: │ │ 1. Check our Sharp bits documentation which covers common issues: │ https://docs.rxinfer.com/stable/manuals/sharpbits/overview/ │ 2. Browse our existing discussions - your question may already be answered: │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ 3. Take inspiration from our set of examples: │ https://examples.rxinfer.com/ │ │ Still stuck? We'd love to help! You can: │ - Start a discussion for questions and help. Feedback and questions from new users is also welcome! If you are stuck, please reach out and we will solve it together. │ https://github.com/ReactiveBayes/RxInfer.jl/discussions │ - Report a bug or request a feature: │ https://github.com/ReactiveBayes/RxInfer.jl/issues │ - (Optional) Share your session data with `RxInfer.share_session_data()` to help us better understand the issue │ https://docs.rxinfer.com/stable/manuals/telemetry/ │ │ Note that we use GitHub discussions not just for technical questions! We welcome all kinds of discussions, │ whether you're new to Bayesian inference, have questions about use cases, or just want to share your experience. │ │ To help us help you, please include: │ - A minimal example that reproduces the issue │ - The complete error message and stack trace │ - (Optional) If you shared your session data, please include the session ID in the issue │ │ Use `RxInfer.disable_inference_error_hint!()` to disable this message. └ @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:276 Full analyse() pipeline preserves protein order and signal: Error During Test at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/core/test_protein_order.jl:90 Got exception outside of a @test LoadError: UndefVarError: `tap` not defined in `RxInfer` Hint: It looks like two or more modules export different bindings with this name, resulting in ambiguity. Try explicitly importing it from a particular module, or qualifying the name with the module it should come from. Hint: a global variable of this name also exists in Base. Stacktrace: [1] ensure_update(model::RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, ::Nothing, variable_name::Symbol, updated::RxInfer.MarginalHasBeenUpdated) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:70 [2] (::RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing})(::Pair{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/batch.jl:265 [3] iterate(::Base.Generator{Dict{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}, RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing}}) @ Base generator.jl:49 [inlined] [4] grow_to!(dest::Dict{Any, Any}, itr::Base.Generator{Dict{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}, RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing}}) @ Base abstractdict.jl:593 [5] dict_with_eltype(DT_apply::Base.var"#Dict##0#Dict##1", kv::Base.Generator{Dict{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}, RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing}}, t::Core.TypeEgal{Any}) @ Base abstractdict.jl:647 [inlined] [6] Dict(kv::Base.Generator{Dict{Symbol, Rocket.BufferActor{ReactiveMP.Marginal, Vector{ReactiveMP.Marginal}}}, RxInfer.var"#209#210"{Dict{Symbol, RxInfer.MarginalHasBeenUpdated}, RxInfer.ProbabilisticModel{GraphPPL.Model{MetaGraphsNext.MetaGraph{Int64, Graphs.SimpleGraphs.SimpleGraph{Int64}, GraphPPL.NodeLabel, GraphPPL.NodeData, GraphPPL.EdgeLabel, GraphPPL.Context, MetaGraphsNext.var"#MetaGraph##6#MetaGraph##7", Float64}, GraphPPL.PluginsCollection{Tuple{GraphPPL.VariationalConstraintsPlugin{GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}}, GraphPPL.MetaPlugin{GraphPPL.MetaSpecification}, RxInfer.InitializationPlugin{RxInfer.InitSpecification}, RxInfer.ReactiveMPInferencePlugin{RxInfer.ReactiveMPInferenceOptions{Nothing, Nothing, Nothing}}}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}}, Nothing}}) @ Base dict.jl:117 [7] batch_inference(; model::GraphPPL.ModelGenerator{typeof(BayesInteractomics.HierarchicalBayesianModelSingle), @Kwargs{μ::Float64, σ::Float64, a::Float64, b::Float64}, GraphPPL.PluginsCollection{Tuple{}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}, data::@NamedTuple{samples::Matrix{Missing}, controls::Matrix{Missing}}, initialization::RxInfer.InitSpecification, constraints::GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}, meta::Nothing, options::Nothing, returnvars::RxInfer.KeepLast, predictvars::Nothing, iterations::Int64, free_energy::Bool, free_energy_diagnostics::Tuple{RxInfer.ObjectiveDiagnosticCheckNaNs, RxInfer.ObjectiveDiagnosticCheckInfs}, allow_node_contraction::Bool, showprogress::Bool, callbacks::Nothing, addons::Nothing, postprocess::RxInfer.DefaultPostprocess, warn::Bool, catch_exception::Bool) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/batch.jl:265 [8] (::RxInfer.var"#302#303"{GraphPPL.ModelGenerator{typeof(BayesInteractomics.HierarchicalBayesianModelSingle), @Kwargs{μ::Float64, σ::Float64, a::Float64, b::Float64}, GraphPPL.PluginsCollection{Tuple{}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}, @NamedTuple{samples::Matrix{Missing}, controls::Matrix{Missing}}, Nothing, Nothing, RxInfer.InitSpecification, GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}, Nothing, Nothing, RxInfer.KeepLast, Nothing, Nothing, Nothing, Int64, Bool, Tuple{RxInfer.ObjectiveDiagnosticCheckNaNs, RxInfer.ObjectiveDiagnosticCheckInfs}, Bool, Bool, Bool, Nothing, Nothing, RxInfer.DefaultPostprocess, Nothing, Bool, Bool, Bool})(invoke::RxInfer.SessionInvoke) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:545 [inlined] [9] with_session(f::RxInfer.var"#302#303"{GraphPPL.ModelGenerator{typeof(BayesInteractomics.HierarchicalBayesianModelSingle), @Kwargs{μ::Float64, σ::Float64, a::Float64, b::Float64}, GraphPPL.PluginsCollection{Tuple{}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}, @NamedTuple{samples::Matrix{Missing}, controls::Matrix{Missing}}, Nothing, Nothing, RxInfer.InitSpecification, GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}, Nothing, Nothing, RxInfer.KeepLast, Nothing, Nothing, Nothing, Int64, Bool, Tuple{RxInfer.ObjectiveDiagnosticCheckNaNs, RxInfer.ObjectiveDiagnosticCheckInfs}, Bool, Bool, Bool, Nothing, Nothing, RxInfer.DefaultPostprocess, Nothing, Bool, Bool, Bool}, session::RxInfer.Session, label::Symbol) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/session.jl:253 [10] infer(; model::GraphPPL.ModelGenerator{typeof(BayesInteractomics.HierarchicalBayesianModelSingle), @Kwargs{μ::Float64, σ::Float64, a::Float64, b::Float64}, GraphPPL.PluginsCollection{Tuple{}}, RxInfer.ReactiveMPGraphPPLBackend{Static.False}, String}, data::@NamedTuple{samples::Matrix{Missing}, controls::Matrix{Missing}}, datastream::Nothing, autoupdates::Nothing, initialization::RxInfer.InitSpecification, initmessages::Nothing, initmarginals::Nothing, constraints::GraphPPL.Constraints{Vector{GraphPPL.FactorizationConstraint}, Vector{GraphPPL.MarginalFormConstraint}, Vector{GraphPPL.MessageFormConstraint}, Dict{Function, GraphPPL.GeneralSubModelConstraints}, Dict{GraphPPL.FactorID, GraphPPL.SpecificSubModelConstraints}, String}, meta::Nothing, options::Nothing, returnvars::RxInfer.KeepLast, predictvars::Nothing, historyvars::Nothing, keephistory::Nothing, iterations::Int64, free_energy::Bool, free_energy_diagnostics::Tuple{RxInfer.ObjectiveDiagnosticCheckNaNs, RxInfer.ObjectiveDiagnosticCheckInfs}, allow_node_contraction::Bool, showprogress::Bool, catch_exception::Bool, callbacks::Nothing, addons::Nothing, postprocess::RxInfer.DefaultPostprocess, events::Nothing, uselock::Bool, autostart::Bool, warn::Bool, session::RxInfer.Session) @ RxInfer ~/.julia/packages/RxInfer/Lf98f/src/inference/inference.jl:515 [inlined] [11] precompute_HBM_single_protocol_prior(data::BayesInteractomics.InteractionData{Float64, Int64}; μ_0::Float64, σ_0::Float64, a_0::Float64, b_0::Float64) @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/inference/models.jl:340 [12] precompute_enrichment_prior(data::BayesInteractomics.InteractionData{Float64, Int64}; μ_0::Float64, σ_0::Float64, a_0::Float64, b_0::Float64) @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/inference/models.jl:2550 [inlined] [13] analyse(data::BayesInteractomics.InteractionData{Float64, Int64}, H0_file::Nothing; n_controls::Int64, n_samples::Int64, refID::Int64, plotHBMdists::Bool, plotlog2fc::Bool, plotregr::Bool, plotbayesrange::Bool, verbose::Bool, temp_result_file::String, use_intermediate_cache::Bool, betabernoulli_cache_file::String, hbm_regression_cache_file::String, h0_cache_file::String, prior::Symbol, n_restarts::Int64, copula_criterion::Symbol, copula_family::Nothing, h1_copula_family::Nothing, streams::Vector{Symbol}, h1_refitting::Bool, burn_in::Int64, run_em_diagnostics::Bool, combination_method::Symbol, lc_n_iterations::Int64, lc_alpha_prior::Symbol, lc_convergence_tol::Float64, lc_winsorize::Bool, lc_winsorize_quantiles::Tuple{Float64, Float64}, regression_likelihood::Symbol, student_t_nu::Float64, regression_bf_threshold::Float64, jzs_r_scale::Float64, regression_min_posterior_var::Float64, imputation::Symbol, variance_recovery::Symbol, dropout_fit::Nothing, inflation_max::Float64, inflation_override::Nothing, bb_mnar_codriven::BayesInteractomics.BBMnarCodrivenConfig, mask_aware_regression::Bool, raw_data::Nothing) @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/analysis/pipeline.jl:523 [14] (::Main.var"##307".var"#11#12"{String})() @ Main.var"##307" ~/.julia/packages/BayesInteractomics/m4WLM/test/core/test_protein_order.jl:166 [15] cd(f::Main.var"##307".var"#11#12"{String}, dir::String) @ Base.Filesystem file.jl:113 [16] (::Main.var"##307".var"#9#10")(tmpdir::String) @ Main.var"##307" ~/.julia/packages/BayesInteractomics/m4WLM/test/core/test_protein_order.jl:165 [inlined] [17] mktempdir(fn::Main.var"##307".var"#9#10", parent::String; prefix::String) @ Base.Filesystem file.jl:949 [18] mktempdir(fn::Function, parent::String) @ Base.Filesystem file.jl:945 [19] top-level scope @ ~/.julia/packages/BayesInteractomics/m4WLM/test/core/test_protein_order.jl:164 [20] eval(m::Module, e::Any) @ Core boot.jl:618 [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base loading.jl:3258 [22] include_string(m::Module, txt::String, fname::String) @ Base loading.jl:3268 [23] (::TestItemRunner.var"#run_testitem##6#run_testitem##7"{Module, String, String})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:258 [inlined] [24] withpath(f::TestItemRunner.var"#run_testitem##6#run_testitem##7"{Module, String, String}, path::String) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/vendored_code.jl:7 [25] (::TestItemRunner.var"#run_testitem##4#run_testitem##5"{Module, String, String})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:257 [inlined] [26] cd(f::TestItemRunner.var"#run_testitem##4#run_testitem##5"{Module, String, String}, dir::String) @ Base.Filesystem file.jl:113 [27] run_testitem(mod::Module, filepath::String, use_default_usings::Bool, setups::Vector{Symbol}, package_name::String, original_code::String, line::Int64, column::Int64, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:256 [28] run_testitem_in_testset(ts::Test.DefaultTestSet, testitem::@NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, package_name::String, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:298 [29] (::TestItemRunner.var"#run_node!##0#run_node!##1"{String, TestItemRunner.TestSetupModuleSet, Dict{Symbol, Any}, @NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, Test.DefaultTestSet})() @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:737 [inlined] [30] macro expansion @ ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703 [inlined] [31] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2416 [inlined] [32] with_testset(f::TestItemRunner.var"#run_node!##0#run_node!##1"{String, TestItemRunner.TestSetupModuleSet, Dict{Symbol, Any}, @NamedTuple{filename::String, code::String, name::String, option_tags::Vector{Symbol}, option_default_imports::Bool, option_setup::Vector{Symbol}, skip::Bool, line::Int64, column::Int64}, Test.DefaultTestSet}, ts::Test.DefaultTestSet) @ TestItemRunner ~/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702 in expression starting at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/core/test_protein_order.jl:164 ┌ Warning: `q()` is deprecated, use `bfdr()` instead └ @ BayesInteractomics ~/.julia/packages/BayesInteractomics/m4WLM/src/core/utils.jl:163 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 359 running 1 of 1 signal (10): User defined signal 1 egal_types at /source/src/builtins.c:202:13 ijl_types_equal at /source/src/subtype.c:3927:41 jl_specializations_get_linfo_ at /source/src/gf.c:275:17 cache_result at /source/src/gf.c:1959:15 ml_matches at /source/src/gf.c:5700:13 ijl_matching_methods at /source/src/gf.c:3570:12 [inlined] ijl_matching_methods at /source/src/gf.c:3557:26 _methods_by_ftype at ./runtime_internals.jl:1777:0 [inlined] _findall at ./../usr/share/julia/Compiler/src/methodtable.jl:105:0 [inlined] #findall#5 at ./../usr/share/julia/Compiler/src/methodtable.jl:70:0 [inlined] findall at ./../usr/share/julia/Compiler/src/methodtable.jl:70:0 [inlined] #findall#13 at ./../usr/share/julia/Compiler/src/methodtable.jl:113:0 (pc: 27) findall at ./../usr/share/julia/Compiler/src/methodtable.jl:110:0 [inlined] find_simple_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:421:0 (pc: 6) #find_method_matches#154 at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:380:0 [inlined] find_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:373:0 (pc: 25) jfptr_find_method_matches_4.1 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 abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:136:0 (pc: 11) abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3082:0 (pc: 1830) abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3233:0 (pc: 345) abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3226:0 [inlined] abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3372:0 [inlined] abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3390:0 (pc: 119) abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3817:0 (pc: 4) abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4284:0 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4246:0 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4827:0 (pc: 3370) jfptr_typeinf_local_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:5100:0 (pc: 690) 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 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) include_string at ./loading.jl:3258:0 (pc: 140) include_string at ./loading.jl:3268:0 (pc: 1) _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_f_invokelatest at /source/src/builtins.c:1054:23 #run_testitem##6 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:258:0 [inlined] withpath at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/vendored_code.jl:7:0 (pc: 72) #run_testitem##4 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:257:0 [inlined] cd at ./file.jl:113:0 (pc: 19) run_testitem at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:256:0 (pc: 318) unknown function (ip: 0x78878c17db8c) at (unknown file) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 run_testitem_in_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:298:0 (pc: 45) #run_node!##0 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:737:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702:0 (pc: 110) unknown function (ip: 0x78878c17b820) at (unknown file) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 run_node! at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:736:0 (pc: 68) #run_node!##2 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:746:0 (pc: 7) macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702:0 (pc: 105) run_node! at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:745:0 (pc: 179) #run_node!##2 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:746:0 (pc: 7) macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702:0 (pc: 105) run_node! at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:745:0 (pc: 179) #run_node!##2 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:746:0 (pc: 7) macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702:0 (pc: 105) run_node! at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:745:0 (pc: 179) unknown function (ip: 0x78878c179ef2) at (unknown file) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 #29 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:861:0 (pc: 11) macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:713:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_root_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:712:0 (pc: 105) #run_tests#18 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:860:0 (pc: 635) run_tests at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:791:0 (pc: 1) unknown function (ip: 0x78878c0e9002) at (unknown file) _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) include_string at ./loading.jl:3258:0 (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:3320:0 (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: 0x7887ed193249) 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 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Info: Saved curation report (JLD2) └ path = "/tmp/jl_K6AtRG/test_curation_report.jld2" ┌ Info: Saved curation log (CSV) └ path = "/tmp/jl_K6AtRG/test_curation_log.csv" ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:573:34 wait at ./task.jl:1652:0 (pc: 108) wait_forever at ./task.jl:1528:0 (pc: 4) jfptr_wait_forever_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] start_task at /source/src/task.c:1278:23 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007bff2f2818d0 Total snapshots: 362. Utilization: 0% ╎362 @Base/task.jl:1528 wait_forever() 361╎ 362 @Base/task.jl:? wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:573:34 wait at ./task.jl:1652:0 (pc: 108) [359] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/BayesInteractomics/m4WLM/test/data/test_curation.jl:488 wait_safe_interrupt at ./park.jl:231:0 (pc: 6) #wait#428 at ./condition.jl:390:0 (pc: 117) wait at ./condition.jl:325:0 [inlined] _trywait at ./asyncevent.jl:204:0 (pc: 38) #_trywait#722 at ./asyncevent.jl:175:0 [inlined] _trywait at ./asyncevent.jl:175:0 [inlined] profile_printing_listener at ./Base.jl:366:0 (pc: 23) #start_profile_listener##0 at ./Base.jl:386:0 (pc: 2) jfptr_YY.start_profile_listenerYY.YY.0_0.1 at /opt/julia/lib/julia/sys.so (unknown line) start_task at /source/src/task.c:1275:23 unknown function (ip: (nil)) at (unknown file) Allocations: 28902476 (Pool: 28901448; Big: 1028); GC: 26 _ZN4llvm15SmallPtrSetImplIPNS_10BasicBlockEE6insertES2_ at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZN4llvm39TryToSimplifyUncondBranchFromEmptyBlockEPNS_10BasicBlockEPNS_14DomTreeUpdaterE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZN4llvm11simplifyCFGEPNS_10BasicBlockERKNS_19TargetTransformInfoEPNS_14DomTreeUpdaterERKNS_18SimplifyCFGOptionsENS_8ArrayRefINS_6WeakVHEEE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZL22iterativelySimplifyCFGRN4llvm8FunctionERKNS_19TargetTransformInfoEPNS_14DomTreeUpdaterERKNS_18SimplifyCFGOptionsE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZL23simplifyFunctionCFGImplRN4llvm8FunctionERKNS_19TargetTransformInfoEPNS_13DominatorTreeERKNS_18SimplifyCFGOptionsE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZL19simplifyFunctionCFGRN4llvm8FunctionERKNS_19TargetTransformInfoEPNS_13DominatorTreeERKNS_18SimplifyCFGOptionsE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZN4llvm15SimplifyCFGPass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91:41 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91:41 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91:41 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) run at /source/src/pipeline.cpp:990:12 operator() at /source/src/jitlayers.cpp:1461:17 operator() at /source/src/jitlayers.cpp:1599:12 [inlined] optimizeModule at /source/src/jitlayers.cpp:2689:18 operator() at /source/src/jitlayers.cpp:1051:35 [inlined] CallImpl):: > at /source/usr/include/llvm/ADT/FunctionExtras.h:212:49 operator() at /source/usr/include/llvm/ADT/FunctionExtras.h:366:62 [inlined] operator() at /source/src/objcache.cpp:340:24 [inlined] get at /source/src/objcache.cpp:381:30 materialize at /source/src/jitlayers.cpp:1061:37 _ZN4llvm3orc19MaterializationTask3runEv at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) dispatch at /source/src/julia-task-dispatcher.h:377:13 [inlined] dispatch at /source/src/julia-task-dispatcher.h:366:6 _ZN4llvm3orc16ExecutionSession12dispatchTaskESt10unique_ptrINS0_4TaskESt14default_deleteIS3_EE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZN4llvm3orc16ExecutionSession22dispatchOutstandingMUsEv at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZN4llvm3orc16ExecutionSession17OL_completeLookupESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EESt10shared_ptrINS0_23AsynchronousSymbolQueryEESt8functionIFvRKNS_8DenseMapIPNS0_8JITDylibENS_8DenseSetINS0_15SymbolStringPtrENS_12DenseMapInfoISF_vEEEENSG_ISD_vEENS_6detail12DenseMapPairISD_SI_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZN4llvm3orc25InProgressFullLookupState8completeESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZN4llvm3orc16ExecutionSession19OL_applyQueryPhase1ESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EENS_5ErrorE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) _ZN4llvm3orc16ExecutionSession6lookupENS0_10LookupKindERKSt6vectorISt4pairIPNS0_8JITDylibENS0_19JITDylibLookupFlagsEESaIS8_EENS0_15SymbolLookupSetENS0_11SymbolStateENS_15unique_functionIFvNS_8ExpectedINS_8DenseMapINS0_15SymbolStringPtrENS0_17ExecutorSymbolDefENS_12DenseMapInfoISI_vEENS_6detail12DenseMapPairISI_SJ_EEEEEEEEESt8functionIFvRKNSH_IS6_NS_8DenseSetISI_SL_EENSK_IS6_vEENSN_IS6_SV_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM.so.22.1jl (unknown line) publishCIs at /source/src/jitlayers.cpp:2247:14 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:521:39 jl_compile_method_very_internal at /source/src/gf.c:4105:27 _jl_invoke at /source/src/gf.c:4582:16 [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) include_string at ./loading.jl:3258:0 (pc: 140) include_string at ./loading.jl:3268:0 (pc: 1) _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_f_invokelatest at /source/src/builtins.c:1054:23 #run_testitem##6 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:258:0 [inlined] withpath at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/vendored_code.jl:7:0 (pc: 72) #run_testitem##4 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:257:0 [inlined] cd at ./file.jl:113:0 (pc: 19) run_testitem at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:256:0 (pc: 318) unknown function (ip: 0x78878c17db8c) at (unknown file) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 run_testitem_in_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:298:0 (pc: 45) #run_node!##0 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:737:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702:0 (pc: 110) unknown function (ip: 0x78878c17b820) at (unknown file) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 run_node! at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:736:0 (pc: 68) #run_node!##2 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:746:0 (pc: 7) macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702:0 (pc: 105) run_node! at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:745:0 (pc: 179) #run_node!##2 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:746:0 (pc: 7) macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702:0 (pc: 105) run_node! at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:745:0 (pc: 179) #run_node!##2 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:746:0 (pc: 7) macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:703:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:702:0 (pc: 105) run_node! at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:745:0 (pc: 179) unknown function (ip: 0x78878c179ef2) at (unknown file) _jl_invoke at /source/src/gf.c:4590:23 [inlined] ijl_apply_generic at /source/src/gf.c:4838:12 #29 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:861:0 (pc: 11) macro expansion at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:713:0 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2416:0 [inlined] with_root_testset at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:712:0 (pc: 105) #run_tests#18 at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:860:0 (pc: 635) run_tests at /home/pkgeval/.julia/packages/TestItemRunner/uGBn3/src/TestItemRunner.jl:791:0 (pc: 1) unknown function (ip: 0x78878c0e9002) at (unknown file) _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) include_string at ./loading.jl:3258:0 (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:3320:0 (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: 0x7887ed193249) 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 unknown function (ip: (nil)) at (unknown file) Allocations: 1368514469 (Pool: 1368510396; Big: 4073); GC: 563 PkgEval terminated after 2744.09s: test duration exceeded the time limit