Package evaluation of TMLE on Julia 1.13.0-DEV.834 (c3282ceaac*) started at 2025-07-09T01:44:25.991 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.24s ################################################################################ # Installation # Installing TMLE... Resolving package versions... Installed DefineSingletons ──────────── v0.1.2 Installed InitialValues ─────────────── v0.3.1 Installed InlineStrings ─────────────── v1.4.4 Installed ContextVariablesX ─────────── v0.1.3 Installed OrderedCollections ────────── v1.8.1 Installed HypothesisTests ───────────── v0.11.5 Installed FLoops ────────────────────── v0.2.2 Installed ChainRules ────────────────── v1.72.5 Installed ArgCheck ──────────────────── v2.5.0 Installed SentinelArrays ────────────── v1.4.8 Installed NaNMath ───────────────────── v1.1.3 Installed QuadGK ────────────────────── v2.11.2 Installed Distances ─────────────────── v0.10.12 Installed FileIO ────────────────────── v1.17.0 Installed StatisticalMeasures ───────── v0.2.1 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed FLoopsBase ────────────────── v0.1.1 Installed Reexport ──────────────────── v1.2.2 Installed TMLE ──────────────────────── v0.19.0 Installed ScopedValues ──────────────── v1.3.0 Installed InverseFunctions ──────────── v0.1.17 Installed Tables ────────────────────── v1.12.1 Installed Preferences ───────────────── v1.4.3 Installed UnPack ────────────────────── v1.0.2 Installed Crayons ───────────────────── v4.1.1 Installed LaTeXStrings ──────────────── v1.4.0 Installed Missings ──────────────────── v1.2.0 Installed TableTraits ───────────────── v1.0.1 Installed ADTypes ───────────────────── v1.15.0 Installed SortingAlgorithms ─────────── v1.2.1 Installed MLStyle ───────────────────── v0.4.17 Installed Inflate ───────────────────── v0.1.5 Installed DiffResults ───────────────── v1.1.0 Installed MacroTools ────────────────── v0.5.16 Installed Indexing ──────────────────── v1.1.1 Installed FillArrays ────────────────── v1.13.0 Installed ArnoldiMethod ─────────────── v0.4.0 Installed DataStructures ────────────── v0.18.22 Installed DataValueInterfaces ───────── v1.0.0 Installed RealDot ───────────────────── v0.1.0 Installed StatsBase ─────────────────── v0.34.5 Installed CommonSubexpressions ──────── v0.3.1 Installed PrettyPrint ───────────────── v0.2.0 Installed IrrationalConstants ───────── v0.2.4 Installed GPUArraysCore ─────────────── v0.2.0 Installed DelimitedFiles ────────────── v1.9.1 Installed Scratch ───────────────────── v1.3.0 Installed SimpleTraits ──────────────── v0.9.4 Installed SplittablesBase ───────────── v0.1.15 Installed Roots ─────────────────────── v2.2.8 Installed Transducers ───────────────── v0.4.84 Installed Setfield ──────────────────── v1.1.2 Installed Baselet ───────────────────── v0.1.1 Installed PooledArrays ──────────────── v1.4.3 Installed Zygote ────────────────────── v0.7.10 Installed PDMats ────────────────────── v0.11.35 Installed DocStringExtensions ───────── v0.9.5 Installed CompositionsBase ──────────── v0.1.2 Installed NameResolution ────────────── v0.1.5 Installed CommonSolve ───────────────── v0.2.4 Installed TableOperations ───────────── v1.2.0 Installed PrettyPrinting ────────────── v0.4.2 Installed ForwardDiff ───────────────── v1.0.1 Installed DifferentiationInterface ──── v0.6.54 Installed MLJGLMInterface ───────────── v0.3.7 Installed Rmath_jll ─────────────────── v0.5.1+0 Installed SplitApplyCombine ─────────── v1.2.3 Installed RelocatableFolders ────────── v1.0.1 Installed AliasTables ───────────────── v1.1.3 Installed StatsModels ───────────────── v0.7.4 Installed ScientificTypes ───────────── v3.1.0 Installed SparseInverseSubset ───────── v0.1.2 Installed ShiftedArrays ─────────────── v2.0.0 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed HashArrayMappedTries ──────── v0.2.0 Installed RecipesBase ───────────────── v1.3.4 Installed DataAPI ───────────────────── v1.16.0 Installed Combinatorics ─────────────── v1.0.3 Installed InvertedIndices ───────────── v1.3.1 Installed MetaGraphsNext ────────────── v0.7.3 Installed MLCore ────────────────────── v1.0.0 Installed StaticArraysCore ──────────── v1.4.3 Installed MLUtils ───────────────────── v0.4.8 Installed NNlib ─────────────────────── v0.9.30 Installed StaticArrays ──────────────── v1.9.13 Installed BangBang ──────────────────── v0.4.4 Installed AbstractFFTs ──────────────── v1.5.0 Installed Requires ──────────────────── v1.3.1 Installed ColorTypes ────────────────── v0.12.1 Installed StatisticalMeasuresBase ───── v0.1.2 Installed StringManipulation ────────── v0.4.1 Installed LogExpFunctions ───────────── v0.3.29 Installed DiffRules ─────────────────── v1.15.1 Installed Rmath ─────────────────────── v0.8.0 Installed PrettyTables ──────────────── v2.4.0 Installed CategoricalDistributions ──── v0.1.15 Installed Distributions ─────────────── v0.25.120 Installed AutoHashEquals ────────────── v2.2.0 Installed UnsafeAtomics ─────────────── v0.3.0 Installed StatsFuns ─────────────────── v1.5.0 Installed JLLWrappers ───────────────── v1.7.0 Installed MLJBase ───────────────────── v1.8.1 Installed IRTools ───────────────────── v0.4.15 Installed ZygoteRules ───────────────── v0.2.7 Installed StatisticalTraits ─────────── v3.4.0 Installed Dictionaries ──────────────── v0.4.5 Installed CategoricalArrays ─────────── v0.10.8 Installed LearnAPI ──────────────────── v1.0.1 Installed Accessors ─────────────────── v0.1.42 Installed DataFrames ────────────────── v1.7.0 Installed MLJModels ─────────────────── v0.17.9 Installed Graphs ────────────────────── v1.13.0 Installed MicroCollections ──────────── v0.2.0 Installed Adapt ─────────────────────── v4.3.0 Installed HypergeometricFunctions ───── v0.3.28 Installed GLM ───────────────────────── v1.9.0 Installed JLD2 ──────────────────────── v0.5.15 Installed JuliaVariables ────────────── v0.2.4 Installed ConstructionBase ──────────── v1.6.0 Installed TranscodingStreams ────────── v0.11.3 Installed Compat ────────────────────── v4.17.0 Installed StatsAPI ──────────────────── v1.7.1 Installed Statistics ────────────────── v1.11.1 Installed StructArrays ──────────────── v0.7.1 Installed Atomix ────────────────────── v1.1.1 Installed ProgressMeter ─────────────── v1.10.4 Installed ComputationalResources ────── v0.3.2 Installed ChainRulesCore ────────────── v1.25.2 Installed PrecompileTools ───────────── v1.3.2 Installed PtrArrays ─────────────────── v1.3.0 Installed FixedPointNumbers ─────────── v0.8.5 Installed ScientificTypesBase ───────── v3.0.0 Installed Parameters ────────────────── v0.12.3 Installed MLJModelInterface ─────────── v1.11.1 Installed ShowCases ─────────────────── v0.1.0 Installed KernelAbstractions ────────── v0.9.36 Installed SpecialFunctions ──────────── v2.5.1 Installing 2 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact Rmath 121.9 KiB Updating `~/.julia/environments/v1.13/Project.toml` [8afdd2fb] + TMLE v0.19.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [ec485272] + ArnoldiMethod v0.4.0 [a9b6321e] + Atomix v1.1.1 [15f4f7f2] + AutoHashEquals v2.2.0 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [324d7699] + CategoricalArrays v0.10.8 [af321ab8] + CategoricalDistributions v0.1.15 [082447d4] + ChainRules v1.72.5 [d360d2e6] + ChainRulesCore v1.25.2 [3da002f7] + ColorTypes v0.12.1 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [85a47980] + Dictionaries v0.4.5 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 ⌅ [a0c0ee7d] + DifferentiationInterface v0.6.54 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.5 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [1a297f60] + FillArrays v1.13.0 [53c48c17] + FixedPointNumbers v0.8.5 [f6369f11] + ForwardDiff v1.0.1 [38e38edf] + GLM v1.9.0 [46192b85] + GPUArraysCore v0.2.0 [86223c79] + Graphs v1.13.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [09f84164] + HypothesisTests v0.11.5 [7869d1d1] + IRTools v0.4.15 [313cdc1a] + Indexing v1.1.1 [d25df0c9] + Inflate v0.1.5 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.4 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.5.15 [692b3bcd] + JLLWrappers v1.7.0 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.36 [b964fa9f] + LaTeXStrings v1.4.0 [92ad9a40] + LearnAPI v1.0.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 [a7f614a8] + MLJBase v1.8.1 [caf8df21] + MLJGLMInterface v0.3.7 [e80e1ace] + MLJModelInterface v1.11.1 [d491faf4] + MLJModels v0.17.9 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [fa8bd995] + MetaGraphsNext v0.7.3 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.30 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [d96e819e] + Parameters v0.12.3 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [54e16d92] + PrettyPrinting v0.4.2 [08abe8d2] + PrettyTables v2.4.0 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [05181044] + RelocatableFolders v1.0.1 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [f2b01f46] + Roots v2.2.8 [321657f4] + ScientificTypes v3.1.0 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.3.0 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.8 [efcf1570] + Setfield v1.1.2 [1277b4bf] + ShiftedArrays v2.0.0 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.4 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.1 [03a91e81] + SplitApplyCombine v1.2.3 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [a19d573c] + StatisticalMeasures v0.2.1 [c062fc1d] + StatisticalMeasuresBase v0.1.2 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [3eaba693] + StatsModels v0.7.4 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.1 [8afdd2fb] + TMLE v0.19.0 [ab02a1b2] + TableOperations v1.2.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.84 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 [e88e6eb3] + Zygote v0.7.10 [700de1a5] + ZygoteRules v0.2.7 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.14.1+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 10.47s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4791.1 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 26 already precompiled. Precompiling package dependencies... Precompiling packages... 1029.7 ms ✓ Preferences 1062.1 ms ✓ JLLWrappers 1084.8 ms ✓ CUDA_Driver_jll 3 dependencies successfully precompiled in 3 seconds. 26 already precompiled. Precompiling packages... 4978.4 ms ✓ CUDA_Runtime_jll 1 dependency successfully precompiled in 5 seconds. 30 already precompiled. Precompilation completed after 1303.61s ################################################################################ # Testing # Testing TMLE Status `/tmp/jl_NZPqDn/Project.toml` [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [6af48e0c] CausalTables v1.3.2 [861a8166] Combinatorics v1.0.3 [a93c6f00] DataFrames v1.7.0 [31c24e10] Distributions v0.25.120 [09f84164] HypothesisTests v0.11.5 [682c06a0] JSON v0.21.4 [2ab3a3ac] LogExpFunctions v0.3.29 [a7f614a8] MLJBase v1.8.1 [caf8df21] MLJGLMInterface v0.3.7 [6ee0df7b] MLJLinearModels v0.10.1 [d491faf4] MLJModels v0.17.9 [54119dfa] MLJXGBoostInterface v0.3.12 [bac558e1] OrderedCollections v1.8.1 [860ef19b] StableRNGs v1.0.3 [a19d573c] StatisticalMeasures v0.2.1 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.5 [8afdd2fb] TMLE v0.19.0 [ab02a1b2] TableOperations v1.2.0 [bd369af6] Tables v1.12.1 [ddb6d928] YAML v0.4.14 [9a3f8284] Random v1.11.0 [9e88b42a] Serialization v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_NZPqDn/Manifest.toml` Precompiling packages... 3958.7 ms ✓ Preferences 1056.5 ms ✓ JLLWrappers 2269.8 ms ✓ CUDA_Driver_jll 3 dependencies successfully precompiled in 7 seconds. 26 already precompiled. Precompiling packages... 6651.2 ms ✓ CUDA_Runtime_jll 1 dependency successfully precompiled in 7 seconds. 30 already precompiled. [47edcb42] ADTypes v1.15.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.19.0 [a9b6321e] Atomix v1.1.1 [15f4f7f2] AutoHashEquals v2.2.0 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [6af48e0c] CausalTables v1.3.2 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.2 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [861a8166] Combinatorics v1.0.3 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.17.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [85a47980] Dictionaries v0.4.5 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 ⌅ [a0c0ee7d] DifferentiationInterface v0.6.54 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v1.0.1 [38e38edf] GLM v1.9.0 [46192b85] GPUArraysCore v0.2.0 [86223c79] Graphs v1.13.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [09f84164] HypothesisTests v0.11.5 [7869d1d1] IRTools v0.4.15 [313cdc1a] Indexing v1.1.1 [d25df0c9] Inflate v0.1.5 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings 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Testing Running tests... Test Summary: | Pass Total Time Test expected_value | 3 3 1m12.7s Test Summary: | Pass Total Time Test counterfactualTreatment | 3 3 17.3s Test Summary: | Pass Total Time Test positivity_constraint & get_frequency_table | 28 28 21.8s Test Summary: | Pass Total Time Test selectcols | 5 5 3.0s Test Summary: | Pass Total Time Test SCM | 17 17 6.8s Test Summary: | Pass Total Time Test StaticSCM | 9 9 0.3s Test Summary: | Pass Total Time Test BackdoorAdjustment | 16 16 5.1s Test Summary: | Pass Total Time Test TMLE.to_dict | 2 2 0.4s Test Summary: | Pass Total Time Test ConditionalDistribution | 3 3 0.3s Test Summary: | Pass Total Time Test CMRelevantFactors | 2 2 0.8s Test Summary: | Pass Total Time Test JointEstimand and ComposedEstimand | 5 5 8.3s Test Summary: | Pass Total Time Test MLConditionalDistributionEstimator: binary outcome | 9 9 55.6s Test Summary: | Pass Total Time Test MLConditionalDistributionEstimator: continuous outcome | 7 7 14.0s Test Summary: | Pass Total Time Test SampleSplitMLConditionalDistributionEstimator: Binary outcome | 13 13 8.9s Test Summary: | Pass Total Time Test SampleSplitMLConditionalDistributionEstimator: Continuous outcome | 7 7 1.2s Test Summary: | Pass Total Time Test Conditional Distribution with no parents fits a marginal | 3 3 1.9s Test Summary: | Pass Total Time Test nomissing | 5 5 7.0s Test Summary: | Pass Total Time Test estimation with missing values and ordered factor treatment | 2 2 1m22.2s Test Summary: | Pass Total Time Test cov | 2 2 2.9s Test Summary: | Pass Total Time Test composition CM(1) - CM(0) = ATE(1,0) | 8 8 1m21.1s Test Summary: | Pass Total Time Test compose multidimensional function | 8 8 3.5s Test Summary: | Pass Total Time Test Joint Interaction | 19 19 29.8s Test Summary: | Pass Total Time Test CausalStratifiedCV | 8 8 5.8s Test Summary: | Pass Total Time Test StatisticalCMCompositeEstimand | 10 10 7.6s Test Summary: | Pass Total Time Test standardization of StatisticalCMCompositeEstimand | 10 10 2.9s Test Summary: | Pass Total Time Test structs are concrete types | 3 3 0.0s Test Summary: | Pass Total Time Test dictionary conversion | 8 8 9.0s Test Summary: | Pass Total Time Test control_case_settings | 6 6 11.3s Test Summary: | Pass Total Time Test unique_treatment_values | 2 2 7.9s Test Summary: | Pass Total Time factorialEstimand errors | 2 2 3.5s Test Summary: | Pass Total Time Test factorial CM | 2 2 6.6s Test Summary: | Pass Total Time Test factorial ATE | 4 4 8.3s Test Summary: | Pass Total Time Test factorial AIE | 3 3 3.2s Test Summary: | Pass Total Time Test factorialEstimands | 2 2 0.1s Test Summary: | Pass Total Time Test ps_lower_bound | 5 5 0.0s Test Summary: | Pass Total Time Test clever_covariate_and_weights: 1 treatment | 4 4 18.4s Test Summary: | Pass Total Time Test clever_covariate_and_weights: 2 treatments | 2 2 0.2s Test Summary: | Pass Total Time Test compute_offset, clever_covariate_and_weights: 3 treatments | 2 2 21.8s Test Summary: | Pass Total Time Test gradient_and_plugin_estimate | 5 5 23.3s Test Summary: | Pass Total Time Test Fluctuation with 1 Treatments | 21 21 8.4s Test Summary: | Pass Total Time Test Fluctuation with 2 Treatments | 11 11 8.4s Test Summary: | Pass Total Time Test same_type_nt | 6 6 0.5s ┌ Warning: `TMLEE(args...; kwargs...)` is deprecated, use `Tmle(args...; kwargs...)` instead. │ caller = top-level scope at estimators_and_estimates.jl:27 └ @ Core ~/.julia/packages/TMLE/ab8s0/test/counterfactual_mean_based/estimators_and_estimates.jl:27 ┌ Warning: `OSE(args...; kwargs...)` is deprecated, use `Ose(args...; kwargs...)` instead. │ caller = top-level scope at estimators_and_estimates.jl:27 └ @ Core ~/.julia/packages/TMLE/ab8s0/test/counterfactual_mean_based/estimators_and_estimates.jl:27 ┌ Warning: `NAIVE(args...; kwargs...)` is deprecated, use `Plugin(args...; kwargs...)` instead. │ caller = top-level scope at estimators_and_estimates.jl:27 └ @ Core ~/.julia/packages/TMLE/ab8s0/test/counterfactual_mean_based/estimators_and_estimates.jl:27 Test Summary: | Pass Total Time Deprecation | 3 3 7.5s Test Summary: | Pass Total Time Test CMRelevantFactorsEstimator | 11 11 14.9s ┌ Warning: The number and/or types of data arguments do not match what the specified model │ supports. Suppress this type check by specifying `scitype_check_level=0`. │ │ Run `@doc MLJLinearModels.LinearRegressor` to learn more about your model's requirements. │ │ Commonly, but non exclusively, supervised models are constructed using the syntax │ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are │ constructed with `machine(model, X)`. Here `X` are features, `y` a target, and `w` │ sample or class weights. │ │ In general, data in `machine(model, data...)` is expected to satisfy │ │ scitype(data) <: MLJ.fit_data_scitype(model) │ │ In the present case: │ │ scitype(data) = Tuple{ScientificTypesBase.Table{AbstractVector{ScientificTypesBase.Continuous}}, AbstractVector{ScientificTypesBase.OrderedFactor{2}}} │ │ fit_data_scitype(model) = Tuple{ScientificTypesBase.Table{<:AbstractVector{<:ScientificTypesBase.Continuous}}, AbstractVector{ScientificTypesBase.Continuous}} └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:237 ┌ Error: Problem fitting the machine machine(LinearRegressor(fit_intercept = true, …), …). └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:694 [ Info: Running type checks... ┌ Warning: The number and/or types of data arguments do not match what the specified model │ supports. Suppress this type check by specifying `scitype_check_level=0`. │ │ Run `@doc MLJLinearModels.LinearRegressor` to learn more about your model's requirements. │ │ Commonly, but non exclusively, supervised models are constructed using the syntax │ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are │ constructed with `machine(model, X)`. Here `X` are features, `y` a target, and `w` │ sample or class weights. │ │ In general, data in `machine(model, data...)` is expected to satisfy │ │ scitype(data) <: MLJ.fit_data_scitype(model) │ │ In the present case: │ │ scitype(data) = Tuple{ScientificTypesBase.Table{AbstractVector{ScientificTypesBase.Continuous}}, AbstractVector{ScientificTypesBase.OrderedFactor{2}}} │ │ fit_data_scitype(model) = Tuple{ScientificTypesBase.Table{<:AbstractVector{<:ScientificTypesBase.Continuous}}, AbstractVector{ScientificTypesBase.Continuous}} └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:237 [ Info: It seems an upstream node in a learning network is providing data of incompatible scitype. See above. ┌ Warning: The number and/or types of data arguments do not match what the specified model │ supports. Suppress this type check by specifying `scitype_check_level=0`. │ │ Run `@doc MLJLinearModels.LogisticClassifier` to learn more about your model's requirements. │ │ Commonly, but non exclusively, supervised models are constructed using the syntax │ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are │ constructed with `machine(model, X)`. Here `X` are features, `y` a target, and `w` │ sample or class weights. │ │ In general, data in `machine(model, data...)` is expected to satisfy │ │ scitype(data) <: MLJ.fit_data_scitype(model) │ │ In the present case: │ │ scitype(data) = Tuple{ScientificTypesBase.Table{Union{AbstractVector{ScientificTypesBase.Continuous}, AbstractVector{ScientificTypesBase.OrderedFactor{2}}}}, AbstractVector{ScientificTypesBase.Continuous}} │ │ fit_data_scitype(model) = Tuple{ScientificTypesBase.Table{<:AbstractVector{<:ScientificTypesBase.Continuous}}, AbstractVector{<:ScientificTypesBase.Finite}} └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:237 ┌ Error: Problem fitting the machine machine(LogisticClassifier(lambda = 2.220446049250313e-16, …), …). └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:694 [ Info: Running type checks... ┌ Warning: The number and/or types of data arguments do not match what the specified model │ supports. Suppress this type check by specifying `scitype_check_level=0`. │ │ Run `@doc MLJLinearModels.LogisticClassifier` to learn more about your model's requirements. │ │ Commonly, but non exclusively, supervised models are constructed using the syntax │ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are │ constructed with `machine(model, X)`. Here `X` are features, `y` a target, and `w` │ sample or class weights. │ │ In general, data in `machine(model, data...)` is expected to satisfy │ │ scitype(data) <: MLJ.fit_data_scitype(model) │ │ In the present case: │ │ scitype(data) = Tuple{ScientificTypesBase.Table{Union{AbstractVector{ScientificTypesBase.Continuous}, AbstractVector{ScientificTypesBase.OrderedFactor{2}}}}, AbstractVector{ScientificTypesBase.Continuous}} │ │ fit_data_scitype(model) = Tuple{ScientificTypesBase.Table{<:AbstractVector{<:ScientificTypesBase.Continuous}}, AbstractVector{<:ScientificTypesBase.Finite}} └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:237 [ Info: It seems an upstream node in a learning network is providing data of incompatible scitype. See above. [ Info: Estimating nuisance parameters. [ Info: Estimating: P₀(G25 Other extrapyramidal and movement disorders | 2:14983:G:A, PC1, PC2, PC3, PC4, PC5, PC6) ┌ Error: Problem fitting the machine machine(LinearBinaryClassifier(fit_intercept = false, …), …). └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:694 [ Info: Running type checks... [ Info: Type checks okay. ┌ Error: Problem fitting the machine machine(Fluctuation(Ψ = TMLE.StatisticalATE(Symbol("G25 Other extrapyramidal and movement disorders"), OrderedCollections.OrderedDict(Symbol("2:14983:G:A") => (control = "AG", case = "GG")), OrderedCollections.OrderedDict(Symbol("2:14983:G:A") => (:PC1, :PC2, :PC3, :PC4, :PC5, :PC6)), ()), …), …). └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:694 [ Info: Running type checks... [ Info: Type checks okay. Test Summary: | Pass Total Time Test FitFailedError | 6 6 1m37.3s Test Summary: | Pass Total Time Test structs are concrete types | 3 3 0.0s Test Summary: | Pass Total Time Test ATE on perinatal dataset. | 13 13 42.2s Test Summary: | Pass Total Time Test accelerations | 6 6 54.2s Test Summary: | Pass Total Time Test Double Robustness ATE on continuous_outcome_categorical_treatment_pb | 19 19 28.9s Test Summary: | Pass Total Time Test Double Robustness ATE on binary_outcome_binary_treatment_pb | 16 16 23.1s Test Summary: | Pass Total Time Test Double Robustness ATE on continuous_outcome_binary_treatment_pb | 16 16 20.4s Test Summary: | Pass Total Time Test Double Robustness ATE with two treatment variables | 30 30 1m07.3s Test Summary: | Pass Total Time Test Double Robustness AIE on binary_outcome_binary_treatment_pb | 18 18 1m17.1s Test Summary: | Pass Total Time Test Double Robustness AIE on continuous_outcome_binary_treatment_pb | 16 16 28.3s Test Summary: | Pass Total Time Test Double Robustness AIE on binary_outcome_categorical_treatment_pb | 18 18 2m35.6s ┌ Warning: The number and/or types of data arguments do not match what the specified model │ supports. Suppress this type check by specifying `scitype_check_level=0`. │ │ Run `@doc MLJLinearModels.LogisticClassifier` to learn more about your model's requirements. │ │ Commonly, but non exclusively, supervised models are constructed using the syntax │ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are │ constructed with `machine(model, X)`. Here `X` are features, `y` a target, and `w` │ sample or class weights. │ │ In general, data in `machine(model, data...)` is expected to satisfy │ │ scitype(data) <: MLJ.fit_data_scitype(model) │ │ In the present case: │ │ scitype(data) = Tuple{ScientificTypesBase.Table{Union{AbstractVector{ScientificTypesBase.Continuous}, AbstractVector{ScientificTypesBase.Multiclass{2}}}}, AbstractVector{ScientificTypesBase.Multiclass{2}}} │ │ fit_data_scitype(model) = Tuple{ScientificTypesBase.Table{<:AbstractVector{<:ScientificTypesBase.Continuous}}, AbstractVector{<:ScientificTypesBase.Finite}} └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:237 ┌ Warning: The number and/or types of data arguments do not match what the specified model │ supports. Suppress this type check by specifying `scitype_check_level=0`. │ │ Run `@doc MLJLinearModels.LogisticClassifier` to learn more about your model's requirements. │ │ Commonly, but non exclusively, supervised models are constructed using the syntax │ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are │ constructed with `machine(model, X)`. Here `X` are features, `y` a target, and `w` │ sample or class weights. │ │ In general, data in `machine(model, data...)` is expected to satisfy │ │ scitype(data) <: MLJ.fit_data_scitype(model) │ │ In the present case: │ │ scitype(data) = Tuple{ScientificTypesBase.Table{Union{AbstractVector{ScientificTypesBase.Continuous}, AbstractVector{ScientificTypesBase.Multiclass{2}}}}, AbstractVector{ScientificTypesBase.Multiclass{2}}} │ │ fit_data_scitype(model) = Tuple{ScientificTypesBase.Table{<:AbstractVector{<:ScientificTypesBase.Continuous}}, AbstractVector{<:ScientificTypesBase.Finite}} └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:237 ┌ Warning: The number and/or types of data arguments do not match what the specified model │ supports. Suppress this type check by specifying `scitype_check_level=0`. │ │ Run `@doc MLJLinearModels.LogisticClassifier` to learn more about your model's requirements. │ │ Commonly, but non exclusively, supervised models are constructed using the syntax │ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are │ constructed with `machine(model, X)`. Here `X` are features, `y` a target, and `w` │ sample or class weights. │ │ In general, data in `machine(model, data...)` is expected to satisfy │ │ scitype(data) <: MLJ.fit_data_scitype(model) │ │ In the present case: │ │ scitype(data) = Tuple{ScientificTypesBase.Table{Union{AbstractVector{ScientificTypesBase.Continuous}, AbstractVector{ScientificTypesBase.Multiclass{2}}}}, AbstractVector{ScientificTypesBase.Multiclass{2}}} │ │ fit_data_scitype(model) = Tuple{ScientificTypesBase.Table{<:AbstractVector{<:ScientificTypesBase.Continuous}}, AbstractVector{<:ScientificTypesBase.Finite}} └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:237 ┌ Warning: The number and/or types of data arguments do not match what the specified model │ supports. Suppress this type check by specifying `scitype_check_level=0`. │ │ Run `@doc MLJLinearModels.LogisticClassifier` to learn more about your model's requirements. │ │ Commonly, but non exclusively, supervised models are constructed using the syntax │ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are │ constructed with `machine(model, X)`. Here `X` are features, `y` a target, and `w` │ sample or class weights. │ │ In general, data in `machine(model, data...)` is expected to satisfy │ │ scitype(data) <: MLJ.fit_data_scitype(model) │ │ In the present case: │ │ scitype(data) = Tuple{ScientificTypesBase.Table{Union{AbstractVector{ScientificTypesBase.Continuous}, AbstractVector{ScientificTypesBase.Multiclass{2}}}}, AbstractVector{ScientificTypesBase.Multiclass{2}}} │ │ fit_data_scitype(model) = Tuple{ScientificTypesBase.Table{<:AbstractVector{<:ScientificTypesBase.Continuous}}, AbstractVector{<:ScientificTypesBase.Finite}} └ @ MLJBase ~/.julia/packages/MLJBase/F1Eh6/src/machines.jl:237 Test Summary: | Pass Total Time Test 3-points interactions | 12 12 15.8s Test Summary: | Pass Total Time Test compute_loss | 5 5 6.1s ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1329 running 1 of 1 signal (10): User defined signal 1 _Z15isReachableImplI14SingleEntrySetIPKN4llvm10BasicBlockEEEbRNS1_15SmallVectorImplIPS2_EERKT_PKNS1_15SmallPtrSetImplIS7_EEPKNS1_13DominatorTreeEPKNS1_8LoopInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm22isPotentiallyReachableEPKNS_10BasicBlockES2_PKNS_15SmallPtrSetImplIPS0_EEPKNS_13DominatorTreeEPKNS_8LoopInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm22EarliestEscapeAnalysis19isNotCapturedBeforeEPKNS_5ValueEPKNS_11InstructionEb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13BasicAAResult13getModRefInfoEPKNS_8CallBaseERKNS_14MemoryLocationERNS_11AAQueryInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm9AAResults13getModRefInfoEPKNS_8CallBaseERKNS_14MemoryLocationERNS_11AAQueryInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm9AAResults13getModRefInfoEPKNS_11InstructionERKSt8optionalINS_14MemoryLocationEERNS_11AAQueryInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm23MemoryDependenceResults30getSimplePointerDependencyFromERKNS_14MemoryLocationEbNS_21ilist_iterator_w_bitsINS_12ilist_detail12node_optionsINS_11InstructionELb1ELb0EvLb1ENS_10BasicBlockEEELb0ELb0EEEPS8_PS7_PjRNS_14BatchAAResultsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm23MemoryDependenceResults24getPointerDependencyFromERKNS_14MemoryLocationEbNS_21ilist_iterator_w_bitsINS_12ilist_detail12node_optionsINS_11InstructionELb1ELb0EvLb1ENS_10BasicBlockEEELb0ELb0EEEPS8_PS7_PjRNS_14BatchAAResultsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm23MemoryDependenceResults24getPointerDependencyFromERKNS_14MemoryLocationEbNS_21ilist_iterator_w_bitsINS_12ilist_detail12node_optionsINS_11InstructionELb1ELb0EvLb1ENS_10BasicBlockEEELb0ELb0EEEPS8_PS7_Pj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm23MemoryDependenceResults13getDependencyEPNS_11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass11processLoadEPNS_8LoadInstE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass18processInstructionEPNS_11InstructionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass12processBlockEPNS_10BasicBlockE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass17iterateOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass7runImplERNS_8FunctionERNS_15AssumptionCacheERNS_13DominatorTreeERKNS_17TargetLibraryInfoERNS_9AAResultsEPNS_23MemoryDependenceResultsERNS_8LoopInfoEPNS_25OptimizationRemarkEmitterEPNS_9MemorySSAE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7GVNPass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:791 operator() at /source/src/jitlayers.cpp:1518 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1479 [inlined] operator() at /source/src/jitlayers.cpp:1631 [inlined] addModule at /source/src/jitlayers.cpp:2088 jl_compile_codeinst_now at /source/src/jitlayers.cpp:683 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:883 jl_compile_method_internal at /source/src/gf.c:3305 _jl_invoke at /source/src/gf.c:3785 [inlined] ijl_apply_generic at /source/src/gf.c:3993 #modelmatrix#63 at /home/pkgeval/.julia/packages/StatsModels/mPD8T/src/modelframe.jl:154 modelmatrix at /home/pkgeval/.julia/packages/StatsModels/mPD8T/src/modelframe.jl:154 [inlined] ModelMatrix at /home/pkgeval/.julia/packages/StatsModels/mPD8T/src/modelframe.jl:225 ModelMatrix at /home/pkgeval/.julia/packages/StatsModels/mPD8T/src/modelframe.jl:229 unknown function (ip: 0x71692ed02142) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 #fit#70 at /home/pkgeval/.julia/packages/StatsModels/mPD8T/src/statsmodel.jl:86 fit at /home/pkgeval/.julia/packages/StatsModels/mPD8T/src/statsmodel.jl:78 unknown function (ip: 0x71692f1fe411) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 jl_apply at /source/src/julia.h:2345 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 #glm#26 at /home/pkgeval/.julia/packages/GLM/vM20T/src/glmfit.jl:604 _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 jl_apply at /source/src/julia.h:2345 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 glm at /home/pkgeval/.julia/packages/GLM/vM20T/src/glmfit.jl:604 _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 fit at /home/pkgeval/.julia/packages/MLJGLMInterface/TJdJr/src/MLJGLMInterface.jl:372 fit at /home/pkgeval/.julia/packages/MLJGLMInterface/TJdJr/src/MLJGLMInterface.jl:366 unknown function (ip: 0x71692f1a5081) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 jl_apply at /source/src/julia.h:2345 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 #fit_only!#57 at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/machines.jl:692 fit_only! at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/machines.jl:617 [inlined] #fit_only!#64 at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/machines.jl:763 fit_only! at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/machines.jl:746 [inlined] #89 at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/composition/learning_networks/nodes.jl:237 unknown function (ip: 0x71692f1a3a85) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 jl_apply at /source/src/julia.h:2345 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== 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 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_73068.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 jl_apply at /source/src/julia.h:2345 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007ef156f843d0 Total snapshots: 408. Utilization: 0% ╎408 @Base/task.jl:1150 wait_forever() 407╎ 408 @Base/task.jl:1213 wait() ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007168f5e10a60 Total snapshots: 20. Utilization: 100% ╎16 @MLJBase/…works/nodes.jl:237 (::MLJBase.var"#89#90"{Base.Pairs{Symbol, An… ╎ 16 @MLJBase/…rc/machines.jl:746 fit_only! ╎ 16 @MLJBase/…rc/machines.jl:763 fit_only!(mach::MLJBase.Machine{Symbol, An… ╎ 16 @MLJBase/…c/machines.jl:617 fit_only! ╎ 16 @MLJBase/…c/machines.jl:692 fit_only!(mach::MLJBase.Machine{Symbol, A… ╎ 16 @MLJGLMInterface/…e.jl:366 fit(model::MLJGLMInterface.LinearBinaryCl… ╎ ╎ 7 @MLJGLMInterface/…e.jl:369 fit(model::MLJGLMInterface.LinearBinaryC… ╎ ╎ 4 @MLJGLMInterface/…e.jl:199 prepare_inputs(model::MLJGLMInterface.L… 3╎ ╎ 4 @Tables/…medtuples.jl:195 columntable(itr::DataFrames.DataFrame) ╎ ╎ 1 @Compiler/…einfer.jl:1570 typeinf_ext_toplevel(mi::Core.MethodIn… ╎ ╎ 1 @Compiler/…einfer.jl:1561 typeinf_ext_toplevel(interp::Compiler… ╎ ╎ ╎ 1 @Compiler/…einfer.jl:1378 typeinf_ext(interp::Compiler.NativeI… ╎ ╎ ╎ 1 @Compiler/…ation.jl:4469 typeinf(interp::Compiler.NativeInter… ╎ ╎ ╎ 1 @Compiler/…ation.jl:4311 typeinf_local(interp::Compiler.Nati… ╎ ╎ ╎ 1 @Compiler/…tion.jl:3762 abstract_eval_basic_statement ╎ ╎ ╎ 1 @Compiler/…tion.jl:3805 abstract_eval_basic_statement ╎ ╎ ╎ ╎ 1 @Compiler/…tion.jl:3430 abstract_eval_statement_expr(inte… ╎ ╎ ╎ ╎ 1 @Compiler/…ion.jl:3074 abstract_eval_call(interp::Compil… ╎ ╎ ╎ ╎ 1 @Compiler/…ion.jl:3056 abstract_call(interp::Compiler.N… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:2896 abstract_call(interp::Compiler.N… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:2903 abstract_call(interp::Compiler.… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:2796 abstract_call_known(interp::Co… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:338 abstract_call_gf_by_type(inter… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…n.jl:167 (::Compiler.var"#infercalls#ab… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…n.jl:735 abstract_call_method(interp::… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/….jl:1029 typeinf_edge(interp::Compile… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…nals.jl:1736 specialize_method(method::M… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…als.jl:1749 #specialize_method#9 3╎ ╎ 3 @MLJGLMInterface/…e.jl:218 prepare_inputs(model::MLJGLMInterface.L… ╎ ╎ 9 @MLJGLMInterface/…e.jl:372 fit(model::MLJGLMInterface.LinearBinaryC… ╎ ╎ 9 @Compiler/…peinfer.jl:1570 typeinf_ext_toplevel(mi::Core.MethodIns… ╎ ╎ 9 @Compiler/…peinfer.jl:1561 typeinf_ext_toplevel(interp::Compiler.… ╎ ╎ 9 @Compiler/…einfer.jl:1378 typeinf_ext(interp::Compiler.NativeInt… ╎ ╎ 6 @Compiler/…tation.jl:4460 typeinf(interp::Compiler.NativeInterp… ╎ ╎ ╎ 6 @Compiler/…estate.jl:1205 doworkloop(interp::Compiler.NativeIn… ╎ ╎ ╎ 6 @Compiler/…tation.jl:178 (::Compiler.var"#handle1#abstract_ca… ╎ ╎ ╎ 6 @Compiler/…ation.jl:868 abstract_call_method_with_const_args… ╎ ╎ ╎ 6 @Compiler/…ation.jl:874 abstract_call_method_with_const_arg… 6╎ ╎ ╎ 6 @Compiler/…tion.jl:1008 concrete_eval_call(interp::Compile… ╎ ╎ 1 @Compiler/…tation.jl:4469 typeinf(interp::Compiler.NativeInterp… ╎ ╎ ╎ 1 @Compiler/…tation.jl:4311 typeinf_local(interp::Compiler.Nativ… ╎ ╎ ╎ 1 @Compiler/…ation.jl:3762 abstract_eval_basic_statement ╎ ╎ ╎ 1 @Compiler/…ation.jl:3805 abstract_eval_basic_statement ╎ ╎ ╎ 1 @Compiler/…tion.jl:3430 abstract_eval_statement_expr(interp… ╎ ╎ ╎ 1 @Compiler/…tion.jl:3074 abstract_eval_call(interp::Compile… ╎ ╎ ╎ ╎ 1 @Compiler/…tion.jl:3056 abstract_call(interp::Compiler.Na… ╎ ╎ ╎ ╎ 1 @Compiler/…ion.jl:2896 abstract_call(interp::Compiler.Na… ╎ ╎ ╎ ╎ 1 @Compiler/…ion.jl:2903 abstract_call(interp::Compiler.N… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:2796 abstract_call_known(interp::Comp… ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:338 abstract_call_gf_by_type(interp:… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:167 (::Compiler.var"#infercalls#abs… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…on.jl:735 abstract_call_method(interp::C… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…r.jl:1029 typeinf_edge(interp::Compiler… ╎ ╎ ╎ ╎ ╎ 1 @Base/…nals.jl:1736 specialize_method(method::Met… 1╎ ╎ ╎ ╎ ╎ 1 @Base/…nals.jl:1749 #specialize_method#9 ╎ ╎ 2 @Compiler/…tation.jl:4476 typeinf(interp::Compiler.NativeInterp… ╎ ╎ ╎ 2 @Compiler/…einfer.jl:232 finish_nocycle(::Compiler.NativeInter… ╎ ╎ ╎ 2 @Compiler/…imize.jl:1019 optimize(interp::Compiler.NativeInte… ╎ ╎ ╎ 2 @Compiler/…imize.jl:1046 run_passes_ipo_safe(ci::Core.CodeIn… ╎ ╎ ╎ 2 @Compiler/…mize.jl:1033 run_passes_ipo_safe(ci::Core.CodeIn… 1╎ ╎ ╎ 1 @Compiler/…mize.jl:0 convert_to_ircode(ci::Core.CodeInfo, … ╎ ╎ ╎ 1 @Compiler/…sses.jl:1362 sroa_pass!(ir::Compiler.IRCode, in… ╎ ╎ ╎ ╎ 1 @Compiler/…sses.jl:573 lift_comparison!(::typeof(===), co… ╎ ╎ ╎ ╎ 1 @Compiler/…sses.jl:629 lift_comparison_leaves!(tfunc::ty… ╎ ╎ ╎ ╎ 1 @Compiler/…ses.jl:781 perform_lifting!(compact::Compile… ╎ ╎ ╎ ╎ 1 @Compiler/…ses.jl:844 perform_lifting!(compact::Compil… ╎ ╎ ╎ ╎ 1 @Compiler/…ir.jl:976 insert_node!(compact::Compiler.I… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…ir.jl:981 insert_node!(compact::Compiler.… ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…ir.jl:370 add_inst! ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…r.jl:310 Instruction ╎ ╎ ╎ ╎ ╎ 1 @Compiler/…r.jl:280 add_new_idx! 1╎ ╎ ╎ ╎ ╎ 1 @Compiler/…r.jl:0 resize!(stmts::Compiler.Instru… Task 0x0000716944e00010 Total snapshots: 1. Utilization: 100% ╎1 @Base/client.jl:557 _start() ╎ 1 @Base/client.jl:290 exec_options(opts::Base.JLOptions) ╎ 1 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ 1 @Base/Base.jl:311 (::Base.IncludeInto)(fname::String) ╎ 1 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _path::Strin… ╎ 1 @Base/loading.jl:2907 _include(mapexpr::Function, mod::Module, _path:… ╎ ╎ 1 @Base/loading.jl:2847 include_string(mapexpr::typeof(identity), mod:… ╎ ╎ 1 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 1 …8s0/test/runtests.jl:353 top-level scope ╎ ╎ 1 @Base/timing.jl:645 macro expansion ╎ ╎ 1 …s0/test/runtests.jl:28 macro expansion ╎ ╎ ╎ 1 @Test/src/Test.jl:738 macro expansion ╎ ╎ ╎ 1 @Test/src/Test.jl:384 eval_test_function(func::Any, args::Any,… ╎ ╎ ╎ 1 @Base/Base.jl:311 (::Base.IncludeInto)(fname::String) ╎ ╎ ╎ 1 @Base/Base.jl:310 include(mapexpr::Function, mod::Module, _p… ╎ ╎ ╎ 1 @Base/loading.jl:2907 _include(mapexpr::Function, mod::Modu… ╎ ╎ ╎ ╎ 1 @Base/loading.jl:2847 include_string(mapexpr::typeof(ident… ╎ ╎ ╎ ╎ 1 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 1 @TMLE/…timators.jl:97 kwcall(::@NamedTuple{verbosity::In… ╎ ╎ ╎ ╎ 1 @TMLE/…imators.jl:133 (::Tmle)(Ψ::TMLE.StatisticalAIE, … ╎ ╎ ╎ ╎ 1 @TMLE/…imators.jl:379 kwcall(::@NamedTuple{cache::Dict… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…mators.jl:416 (::TMLE.CMBasedCTMLE{AdaptiveCor… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…mplate.jl:118 kwcall(::@NamedTuple{verbosity:… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…mplate.jl:138 find_optimal_candidate(last_ca… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…mplate.jl:56 kwcall(::@NamedTuple{verbosity… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…plate.jl:72 step_k_best_candidate(collabor… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…rray.jl:3416 map ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/array.jl:793 collect ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/array.jl:869 grow_to!(dest::Vector{Any},… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ator.jl:48 iterate ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…ate.jl:74 (::TMLE.var"#144#145"{Int64… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:218 JointConditionalDistributi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:224 (::TMLE.JointConditionalD… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:184 fit_conditional_distribu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:185 #fit_conditional_distri… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…le.jl:360 map ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:187 (::TMLE.var"#60#61"{D… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…ls.jl:159 kwcall(::@NamedTuple… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…ls.jl:167 try_fit_ml_estimato… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:41 MLConditionalDistri… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:58 (::TMLE.MLConditio… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @TMLE/…rs.jl:34 kwcall(::@NamedTup… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @TMLE/…rs.jl:37 fit_mlj_model(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @MLJBase/…jl:786 kwcall(::@NamedTu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @MLJBase/…jl:787 #fit!#65 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @MLJBase/…jl:490 glb(::MLJBase.Sou… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @MLJBase/…jl:366 node(::Function, … ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @MLJBase/…jl:133 MLJBase.Node(::Fu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @MLJBase/…jl:66 MLJBase.Node(::typ… Task 0x00007168c1b201f0 Total snapshots: 4. Utilization: 100% ╎3 @MLJBase/…tworks/nodes.jl:237 (::MLJBase.var"#89#90"{Base.Pairs{Symbol, An… ╎ 3 @MLJBase/…rc/machines.jl:746 fit_only! ╎ 3 @MLJBase/…rc/machines.jl:763 fit_only!(mach::MLJBase.Machine{Symbol, Any… ╎ 3 @MLJBase/…rc/machines.jl:617 fit_only! ╎ 3 @MLJBase/…c/machines.jl:692 fit_only!(mach::MLJBase.Machine{Symbol, An… ╎ 3 @MLJGLMInterface/…ce.jl:366 fit(model::MLJGLMInterface.LinearBinaryCl… ╎ ╎ 2 @MLJGLMInterface/…e.jl:372 fit(model::MLJGLMInterface.LinearBinaryCl… ╎ ╎ 2 @GLM/src/glmfit.jl:604 kwcall(::@NamedTuple{offset::Vector{Float64}… ╎ ╎ 2 @GLM/src/glmfit.jl:604 glm(::StatsModels.FormulaTerm{StatsModels.T… ╎ ╎ 2 @StatsModels/…model.jl:78 kwcall(::@NamedTuple{offset::Vector{Flo… 1╎ ╎ 2 @StatsModels/…odel.jl:88 fit(::Type{GLM.GeneralizedLinearModel},… ╎ ╎ 1 @MLJGLMInterface/…e.jl:385 fit(model::MLJGLMInterface.LinearBinaryCl… ╎ ╎ 1 @MLJGLMInterface/…e.jl:252 glm_report(glm_model::StatsModels.TableR… ╎ ╎ 1 @StatsModels/…model.jl:187 coeftable 1╎ ╎ 1 @StatsModels/…odel.jl:189 coeftable(model::StatsModels.TableRegre… [1329] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/TMLE/ab8s0/test/counterfactual_mean_based/covariate_based_strategies.jl:11 unknown function (ip: 0x7169383c416c) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 iterate at /home/pkgeval/.julia/packages/OrderedCollections/Xihhq/src/little_dict.jl:155 iterate at /home/pkgeval/.julia/packages/OrderedCollections/Xihhq/src/little_dict.jl:154 [inlined] iterate at ./abstractdict.jl:66 [inlined] copyto! at ./abstractarray.jl:944 _collect at ./array.jl:740 [inlined] collect at ./array.jl:734 [inlined] |> at ./operators.jl:973 [inlined] #UnivariateFinite#3 at /home/pkgeval/.julia/packages/CategoricalDistributions/g0UnN/src/types.jl:300 UnivariateFinite at /home/pkgeval/.julia/packages/CategoricalDistributions/g0UnN/src/types.jl:294 unknown function (ip: 0x7169383c1552) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 #_UnivariateFinite#15 at /home/pkgeval/.julia/packages/CategoricalDistributions/g0UnN/src/types.jl:428 _UnivariateFinite at /home/pkgeval/.julia/packages/CategoricalDistributions/g0UnN/src/types.jl:400 [inlined] #_UnivariateFinite#18 at /home/pkgeval/.julia/packages/CategoricalDistributions/g0UnN/src/types.jl:487 [inlined] _UnivariateFinite at /home/pkgeval/.julia/packages/CategoricalDistributions/g0UnN/src/types.jl:487 [inlined] #UnivariateFinite#14 at /home/pkgeval/.julia/packages/CategoricalDistributions/g0UnN/src/types.jl:393 UnivariateFinite at /home/pkgeval/.julia/packages/CategoricalDistributions/g0UnN/src/types.jl:377 [inlined] #UnivariateFinite#25 at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/interface/data_utils.jl:147 [inlined] UnivariateFinite at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/interface/data_utils.jl:147 [inlined] #UnivariateFinite#19 at /home/pkgeval/.julia/packages/MLJModelInterface/VXdU7/src/data_utils.jl:589 [inlined] UnivariateFinite at /home/pkgeval/.julia/packages/MLJModelInterface/VXdU7/src/data_utils.jl:588 unknown function (ip: 0x71694932c12d) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/MLJGLMInterface/TJdJr/src/MLJGLMInterface.jl:450 unknown function (ip: 0x71692f1f68d4) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/operations.jl:135 unknown function (ip: 0x716939248b96) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 jl_apply at /source/src/julia.h:2345 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 #_apply#78 at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/composition/learning_networks/nodes.jl:153 _apply at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/composition/learning_networks/nodes.jl:146 [inlined] Node at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/composition/learning_networks/nodes.jl:142 unknown function (ip: 0x716937b64ed2) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 output_and_report at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/composition/learning_networks/signatures.jl:375 predict at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/operations.jl:193 unknown function (ip: 0x71692f1d685d) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/operations.jl:135 unknown function (ip: 0x71692f1d67f6) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/estimates.jl:31 likelihood at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/estimates.jl:133 #balancing_weights#221 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/clever_covariate.jl:24 balancing_weights at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/clever_covariate.jl:21 [inlined] #clever_covariate_and_weights#222 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/clever_covariate.jl:63 clever_covariate_and_weights at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/clever_covariate.jl:53 unknown function (ip: 0x716949296b16) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/fluctuation.jl:219 _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/operations.jl:135 unknown function (ip: 0x71692f1e1406) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/estimates.jl:31 predict at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/fluctuation.jl:224 _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/operations.jl:135 unknown function (ip: 0x71692f1e1406) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 predict at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/estimates.jl:31 compute_loss at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:369 mean_loss at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:359 #update_cv_folds_info!#151 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:314 update_cv_folds_info! at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:272 [inlined] #fill_cv_folds_info!#152 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:321 [inlined] fill_cv_folds_info! at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:318 [inlined] #evaluate_cv_candidate#159 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:342 evaluate_cv_candidate at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:332 unknown function (ip: 0x7169333094e7) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 #find_optimal_candidate#146 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:154 find_optimal_candidate at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:118 unknown function (ip: 0x7169492fc1d8) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 #_#200 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/nuisance_estimators.jl:416 CMBasedCTMLE at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/nuisance_estimators.jl:379 unknown function (ip: 0x7169492f060c) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 #_#208 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/estimators.jl:133 Tmle at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/estimators.jl:97 unknown function (ip: 0x71692f12f902) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 jl_apply at /source/src/julia.h:2345 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_eval_module_expr at /source/src/toplevel.c:196 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:658 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2847 _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 _include at ./loading.jl:2907 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_48990.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 jl_apply at /source/src/julia.h:2345 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 eval_test_function at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:384 unknown function (ip: 0x71695d53d3ee) at (unknown file) _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_apply_generic at /source/src/gf.c:3993 macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:738 [inlined] macro expansion at /home/pkgeval/.julia/packages/TMLE/ab8s0/test/runtests.jl:28 [inlined] macro expansion at ./timing.jl:645 [inlined] top-level scope at /home/pkgeval/.julia/packages/TMLE/ab8s0/test/runtests.jl:353 _jl_invoke at /source/src/gf.c:3793 [inlined] ijl_invoke at /source/src/gf.c:3800 jl_toplevel_eval_flex at /source/src/toplevel.c:762 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 PkgEval terminated after 2722.98s: test duration exceeded the time limit