Package evaluation of TMLE on Julia 1.13.0-DEV.745 (a23ce4bcbb*) started at 2025-06-16T01:16:51.726 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.95s ################################################################################ # Installation # Installing TMLE... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [8afdd2fb] + TMLE v0.19.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [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 v1.25.1 [3da002f7] + ColorTypes v0.12.1 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [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 v0.4.14 [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 v0.5.13 [692b3bcd] + JLLWrappers v1.7.0 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.35 [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 v2.2.7 [321657f4] + ScientificTypes v3.1.0 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.3.0 [6c6a2e73] + Scratch v1.2.1 [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 v1.9.0+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 v3.5.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+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 4.59s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 1422.01s ################################################################################ # Testing # Testing TMLE Status `/tmp/jl_GcPn5K/Project.toml` [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [6af48e0c] CausalTables v1.2.7 [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_GcPn5K/Manifest.toml` [47edcb42] ADTypes v1.14.0 [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 v1.2.7 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.1 [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 v4.16.0 [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 v0.4.14 [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 [42fd0dbc] IterativeSolvers v0.9.4 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.5.13 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.35 [b964fa9f] LaTeXStrings v1.4.0 [92ad9a40] LearnAPI v1.0.1 [d3d80556] LineSearches v7.4.0 [7a12625a] LinearMaps v3.11.4 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 [a7f614a8] MLJBase v1.8.1 [caf8df21] MLJGLMInterface v0.3.7 [6ee0df7b] MLJLinearModels v0.10.1 [e80e1ace] MLJModelInterface v1.11.1 [d491faf4] MLJModels v0.17.9 [54119dfa] MLJXGBoostInterface v0.3.12 [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 [d41bc354] NLSolversBase v7.10.0 [872c559c] NNlib v0.9.30 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [d9ec5142] NamedTupleTools v0.14.3 [429524aa] Optim v1.13.2 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [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 v2.2.7 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.3.0 [6c6a2e73] Scratch v1.2.1 [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 [a0a7dd2c] SparseMatricesCSR v0.6.9 [276daf66] SpecialFunctions v2.5.1 [03a91e81] SplitApplyCombine v1.2.3 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.3 [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 [69024149] StringEncodings v0.3.7 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.1 [856f2bd8] StructTypes v1.11.0 [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 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [009559a3] XGBoost v2.5.1 [ddb6d928] YAML v0.4.14 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 [4ee394cb] CUDA_Driver_jll v0.13.1+0 [76a88914] CUDA_Runtime_jll v0.17.1+0 [1d63c593] LLVMOpenMP_jll v18.1.8+0 [94ce4f54] Libiconv_jll v1.18.0+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [a5c6f535] XGBoost_jll v2.0.1+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 [4af54fe1] LazyArtifacts v1.11.0 [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 v1.9.0+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 v3.5.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+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. Testing Running tests... Precompiling packages... 10774.7 ms ✓ LineSearches 11595.0 ms ✓ Optim 12016.4 ms ✓ MLJLinearModels 3 dependencies successfully precompiled in 37 seconds. 78 already precompiled. Precompiling packages... 2275.2 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 3 seconds. 40 already precompiled. Test Summary: | Pass Total Time Test expected_value | 3 3 1m09.3s Test Summary: | Pass Total Time Test counterfactualTreatment | 3 3 16.6s Test Summary: | Pass Total Time Test positivity_constraint & get_frequency_table | 28 28 21.0s Test Summary: | Pass Total Time Test selectcols | 5 5 2.9s Test Summary: | Pass Total Time Test SCM | 17 17 6.6s Test Summary: | Pass Total Time Test StaticSCM | 9 9 0.3s Test Summary: | Pass Total Time Test BackdoorAdjustment | 16 16 5.0s 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 7.9s Test Summary: | Pass Total Time Test MLConditionalDistributionEstimator: binary outcome | 9 9 54.7s Test Summary: | Pass Total Time Test MLConditionalDistributionEstimator: continuous outcome | 7 7 13.0s Test Summary: | Pass Total Time Test SampleSplitMLConditionalDistributionEstimator: Binary outcome | 13 13 8.8s Test Summary: | Pass Total Time Test SampleSplitMLConditionalDistributionEstimator: Continuous outcome | 7 7 1.1s Test Summary: | Pass Total Time Test Conditional Distribution with no parents fits a marginal | 3 3 1.4s Test Summary: | Pass Total Time Test nomissing | 5 5 6.4s Test Summary: | Pass Total Time Test estimation with missing values and ordered factor treatment | 2 2 1m21.6s Test Summary: | Pass Total Time Test cov | 2 2 3.2s Test Summary: | Pass Total Time Test composition CM(1) - CM(0) = ATE(1,0) | 8 8 1m21.9s Test Summary: | Pass Total Time Test compose multidimensional function | 8 8 3.4s Test Summary: | Pass Total Time Test Joint Interaction | 19 19 27.0s Test Summary: | Pass Total Time Test CausalStratifiedCV | 8 8 6.0s 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 11.1s Test Summary: | Pass Total Time Test unique_treatment_values | 2 2 7.5s Test Summary: | Pass Total Time factorialEstimand errors | 2 2 3.3s Test Summary: | Pass Total Time Test factorial CM | 2 2 6.0s Test Summary: | Pass Total Time Test factorial ATE | 4 4 8.9s Test Summary: | Pass Total Time Test factorial AIE | 3 3 4.0s Test Summary: | Pass Total Time Test factorialEstimands | 2 2 0.2s Test Summary: | Pass Total Time Test ps_lower_bound | 5 5 0.1s Test Summary: | Pass Total Time Test clever_covariate_and_weights: 1 treatment | 4 4 19.2s 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 22.5s Test Summary: | Pass Total Time Test gradient_and_plugin_estimate | 5 5 22.9s Test Summary: | Pass Total Time Test Fluctuation with 1 Treatments | 21 21 8.2s Test Summary: | Pass Total Time Test Fluctuation with 2 Treatments | 11 11 8.0s 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 7.1s Test Summary: | Pass Total Time Test CMRelevantFactorsEstimator | 11 11 14.6s ┌ 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.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 1m26.4s 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 42.6s Test Summary: | Pass Total Time Test accelerations | 6 6 53.6s Test Summary: | Pass Total Time Test Double Robustness ATE on continuous_outcome_categorical_treatment_pb | 19 19 29.7s 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 18.3s Test Summary: | Pass Total Time Test Double Robustness ATE with two treatment variables | 30 30 1m08.5s Test Summary: | Pass Total Time Test Double Robustness AIE on binary_outcome_binary_treatment_pb | 18 18 1m15.7s Test Summary: | Pass Total Time Test Double Robustness AIE on continuous_outcome_binary_treatment_pb | 16 16 27.4s ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 315 running 1 of 1 signal (10): User defined signal 1 unknown function (ip: 0x768435580202) at /lib/x86_64-linux-gnu/libm.so.6 expf at /lib/x86_64-linux-gnu/libm.so.6 (unknown line) _ZN4dmlc12OMPException3RunIZNK7xgboost6common9TransformILb0EE9EvaluatorIZNS2_3obj20SoftmaxMultiClassObj11GetGradientERKNS2_16HostDeviceVectorIfEERKNS2_8MetaInfoEiPNS9_INS2_6detail20GradientPairInternalIfEEEEEUlmNS3_4SpanISI_Lm18446744073709551615EEENSL_IKfLm18446744073709551615EEESO_SO_NSL_IiLm18446744073709551615EEEE_E9LaunchCPUIJSJ_SB_SB_SB_NS9_IiEEEEEvSQ_DpPT_EUlmE_JmEEEvT_DpT0_ at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) _ZN7xgboost6common11ParallelForImZNKS0_9TransformILb0EE9EvaluatorIZNS_3obj20SoftmaxMultiClassObj11GetGradientERKNS_16HostDeviceVectorIfEERKNS_8MetaInfoEiPNS7_INS_6detail20GradientPairInternalIfEEEEEUlmNS0_4SpanISG_Lm18446744073709551615EEENSJ_IKfLm18446744073709551615EEESM_SM_NSJ_IiLm18446744073709551615EEEE_E9LaunchCPUIJSH_S9_S9_S9_NS7_IiEEEEEvSO_DpPT_EUlmE_EEvT_iNS0_5SchedET0_._omp_fn.3 at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) GOMP_parallel at /workspace/srcdir/gcc-14.2.0/libgomp/parallel.c:178 _ZN7xgboost6common11ParallelForImZNKS0_9TransformILb0EE9EvaluatorIZNS_3obj20SoftmaxMultiClassObj11GetGradientERKNS_16HostDeviceVectorIfEERKNS_8MetaInfoEiPNS7_INS_6detail20GradientPairInternalIfEEEEEUlmNS0_4SpanISG_Lm18446744073709551615EEENSJ_IKfLm18446744073709551615EEESM_SM_NSJ_IiLm18446744073709551615EEEE_E9LaunchCPUIJSH_S9_S9_S9_NS7_IiEEEEEvSO_DpPT_EUlmE_EEvT_iNS0_5SchedET0_ at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) _ZN7xgboost3obj20SoftmaxMultiClassObj11GetGradientERKNS_16HostDeviceVectorIfEERKNS_8MetaInfoEiPNS2_INS_6detail20GradientPairInternalIfEEEE at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) _ZN7xgboost10collective15ApplyWithLabelsIZNS_11LearnerImpl11GetGradientERKNS_16HostDeviceVectorIfEERKNS_8MetaInfoEiPNS3_INS_6detail20GradientPairInternalIfEEEEEUlvE_EEvS9_PvmOT_ at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) _ZN7xgboost11LearnerImpl13UpdateOneIterEiSt10shared_ptrINS_7DMatrixEE at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) XGBoosterUpdateOneIter at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) XGBoosterUpdateOneIter at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/Lib.jl:282 [inlined] xgbcall at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/Lib.jl:25 [inlined] #updateone!#83 at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:374 updateone! at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:369 [inlined] #update!#88 at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:446 update! at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:429 [inlined] #xgboost#91 at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:602 [inlined] xgboost at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:579 unknown function (ip: 0x76840ab6c2b2) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 fit at /home/pkgeval/.julia/packages/MLJXGBoostInterface/i2nzW/src/MLJXGBoostInterface.jl:185 fit at /home/pkgeval/.julia/packages/MLJXGBoostInterface/i2nzW/src/MLJXGBoostInterface.jl:171 unknown function (ip: 0x76840ab6b2a1) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [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: 0x76840df0b5b5) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [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_67471.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [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 0x00007a2bdd7f1ff0 Total snapshots: 449. Utilization: 0% ╎449 @Base/task.jl:1150 wait_forever() 448╎ 449 @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 0x00007683c64bc5b0 Total snapshots: 21. Utilization: 100% ╎20 @MLJBase/…works/nodes.jl:237 (::MLJBase.var"#89#90"{Base.Pairs{Symbol, A… ╎ 20 @MLJBase/…rc/machines.jl:746 fit_only! ╎ 20 @MLJBase/…c/machines.jl:763 fit_only!(mach::MLJBase.Machine{Symbol, An… ╎ 20 @MLJBase/…c/machines.jl:617 fit_only! ╎ 20 @MLJBase/…/machines.jl:692 fit_only!(mach::MLJBase.Machine{Symbol, A… ╎ 20 @MLJXGBoostInterface/…:171 fit(model::MLJXGBoostInterface.XGBoostCl… ╎ ╎ 1 @MLJXGBoostInterface/…:180 fit(model::MLJXGBoostInterface.XGBoostC… ╎ ╎ 1 @XGBoost/…/dmatrix.jl:268 XGBoost.DMatrix(X::Matrix{Float64}, y::… ╎ ╎ 1 @XGBoost/…/dmatrix.jl:268 #DMatrix#20 ╎ ╎ 1 @XGBoost/…dmatrix.jl:208 DMatrix ╎ ╎ 1 @XGBoost/…dmatrix.jl:210 XGBoost.DMatrix(x::Matrix{Float64}; k… ╎ ╎ ╎ 1 @XGBoost/…dmatrix.jl:200 _dmatrix ╎ ╎ ╎ 1 @XGBoost/…matrix.jl:204 #_dmatrix#11 ╎ ╎ ╎ 1 @XGBoost/…rc/Lib.jl:25 xgbcall(::typeof(XGBoost.Lib.XGDMatr… ╎ ╎ ╎ 1 @XGBoost/…rc/Lib.jl:96 XGDMatrixCreateFromMat(data::Matrix… ╎ ╎ 19 @MLJXGBoostInterface/…:185 fit(model::MLJXGBoostInterface.XGBoostC… ╎ ╎ 19 @XGBoost/…/booster.jl:579 kwcall(::@NamedTuple{test::Int64, num_r… ╎ ╎ 19 @XGBoost/…/booster.jl:602 #xgboost#91 ╎ ╎ 19 @XGBoost/…booster.jl:429 update! ╎ ╎ 19 @XGBoost/…booster.jl:446 update!(::XGBoost.Booster, ::XGBoost.… ╎ ╎ ╎ 19 @XGBoost/…booster.jl:369 updateone! ╎ ╎ ╎ 19 @XGBoost/…ooster.jl:374 updateone!(b::XGBoost.Booster, Xy::X… ╎ ╎ ╎ 19 @XGBoost/…rc/Lib.jl:25 xgbcall 19╎ ╎ ╎ 19 @XGBoost/…c/Lib.jl:282 XGBoosterUpdateOneIter Task 0x000076841b600010 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:2906 _include(mapexpr::Function, mod::Module, _path:… ╎ ╎ 1 @Base/loading.jl:2846 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:25 macro expansion ╎ ╎ ╎ 1 @Test/src/Test.jl:727 macro expansion ╎ ╎ ╎ 1 @Test/src/Test.jl:373 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:2906 _include(mapexpr::Function, mod::Modu… ╎ ╎ ╎ ╎ 1 @Base/loading.jl:2846 include_string(mapexpr::typeof(ident… ╎ ╎ ╎ ╎ 1 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 1 …st/helper_fns.jl:61 kwcall(::@NamedTuple{verbosity::Int… ╎ ╎ ╎ ╎ 1 …st/helper_fns.jl:65 test_coverage_and_get_results(dr_e… ╎ ╎ ╎ ╎ 1 @TMLE/…imators.jl:97 Tmle ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…mators.jl:133 (::Tmle)(Ψ::TMLE.StatisticalAIE,… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…mators.jl:379 kwcall(::@NamedTuple{cache::Dic… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…mators.jl:416 (::TMLE.CMBasedCTMLE{AdaptiveC… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…plate.jl:118 kwcall(::@NamedTuple{verbosity… ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…plate.jl:154 find_optimal_candidate(last_c… ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…late.jl:332 kwcall(::@NamedTuple{use_fluc… ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…late.jl:342 evaluate_cv_candidate(last_c… ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…late.jl:318 fill_cv_folds_info! ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…ate.jl:321 #fill_cv_folds_info!#152 ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…ate.jl:272 update_cv_folds_info! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…te.jl:295 update_cv_folds_info!(fold… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:218 JointConditionalDistribut… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:224 (::TMLE.JointConditional… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:184 fit_conditional_distrib… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:185 #fit_conditional_distr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…le.jl:359 map ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:187 (::TMLE.var"#60#61"{… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…ls.jl:159 kwcall(::@NamedTupl… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…ls.jl:167 try_fit_ml_estimat… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @TMLE/…rs.jl:41 MLConditionalDistr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @TMLE/…rs.jl:58 (::TMLE.MLConditio… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @TMLE/…rs.jl:34 kwcall(::@NamedTup… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @TMLE/…rs.jl:37 fit_mlj_model(mode… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @MLJBase/…jl:786 kwcall(::@NamedTu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @MLJBase/…jl:789 #fit!#65 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @MLJBase/…jl:617 fit_only! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @MLJBase/…jl:692 fit_only!(mach::M… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @MLJBase/…jl:33 fit(::MLJBase.Prob… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 1 @MLJBase/…jl:326 report(signature:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 1 @MLJBase/…jl:329 #report#155 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +11 1 @MLJBase/…jl:19 machines_given_mod… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +12 1 @MLJBase/…jl:98 machines ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +13 1 @MLJBase/…jl:99 machines(W::MLJBas… Task 0x00007683c64bc1f0 Total snapshots: 139. Utilization: 100% ╎133 @MLJBase/…orks/nodes.jl:237 (::MLJBase.var"#89#90"{Base.Pairs{Symbol, … ╎ 133 @MLJBase/…c/machines.jl:746 fit_only! ╎ 133 @MLJBase/…/machines.jl:763 fit_only!(mach::MLJBase.Machine{Symbol, A… ╎ 133 @MLJBase/…/machines.jl:617 fit_only! ╎ 133 @MLJBase/…/machines.jl:692 fit_only!(mach::MLJBase.Machine{Symbol,… ╎ 133 @MLJXGBoostInterface/…:171 fit(model::MLJXGBoostInterface.XGBoost… ╎ ╎ 133 @MLJXGBoostInterface/…:185 fit(model::MLJXGBoostInterface.XGBoos… ╎ ╎ 133 @XGBoost/…booster.jl:579 kwcall(::@NamedTuple{test::Int64, num_… ╎ ╎ 133 @XGBoost/…booster.jl:602 #xgboost#91 ╎ ╎ 133 @XGBoost/…booster.jl:429 update! ╎ ╎ 133 @XGBoost/…ooster.jl:446 update!(::XGBoost.Booster, ::XGBoost… ╎ ╎ ╎ 133 @XGBoost/…ooster.jl:369 updateone! ╎ ╎ ╎ 133 @XGBoost/…oster.jl:374 updateone!(b::XGBoost.Booster, Xy::… ╎ ╎ ╎ 133 @XGBoost/…c/Lib.jl:25 xgbcall 132╎ ╎ ╎ 133 @XGBoost/…c/Lib.jl:282 XGBoosterUpdateOneIter [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 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 [315] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/TMLE/ab8s0/test/counterfactual_mean_based/double_robustness_aie.jl:106 _ZN7xgboost9predictor12_GLOBAL__N_117PredictByAllTreesERKNS_3gbm11GBTreeModelEjjmRKSt6vectorINS_7RegTree4FVecESaIS8_EEmmNS_6linalg10TensorViewIfLi2EEE at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) _ZN4dmlc12OMPException3RunIZN7xgboost9predictor12_GLOBAL__N_131PredictBatchByBlockOfRowsKernelINS4_14SparsePageViewELm64EEEvT_RKNS2_3gbm11GBTreeModelEjjPSt6vectorINS2_7RegTree4FVecESaISE_EEiNS2_6linalg10TensorViewIfLi2EEEEUljE_JmEEEvS7_DpT0_ at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) _ZN7xgboost6common11ParallelForImZNS_9predictor12_GLOBAL__N_131PredictBatchByBlockOfRowsKernelINS3_14SparsePageViewELm64EEEvT_RKNS_3gbm11GBTreeModelEjjPSt6vectorINS_7RegTree4FVecESaISD_EEiNS_6linalg10TensorViewIfLi2EEEEUljE_EEvS6_iNS0_5SchedET0_._omp_fn.3 at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) GOMP_parallel at /workspace/srcdir/gcc-14.2.0/libgomp/parallel.c:178 _ZNK7xgboost9predictor12CPUPredictor14PredictDMatrixEPNS_7DMatrixEPSt6vectorIfSaIfEERKNS_3gbm11GBTreeModelEii at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) _ZNK7xgboost3gbm6GBTree16PredictBatchImplEPNS_7DMatrixEPNS_20PredictionCacheEntryEbii at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) _ZN7xgboost11LearnerImpl7PredictESt10shared_ptrINS_7DMatrixEEbPNS_16HostDeviceVectorIfEEiibbbbb at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) XGBoosterPredictFromDMatrix at /home/pkgeval/.julia/artifacts/271facf086d4d0b748a1835be4e1208876f382f9/lib/libxgboost.so (unknown line) XGBoosterPredictFromDMatrix at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/Lib.jl:298 unknown function (ip: 0x76840df5f82c) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 xgbcall at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/Lib.jl:25 #predict_nocopy#78 at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:309 predict_nocopy at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:294 [inlined] #predict#80 at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:334 predict at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:334 [inlined] #predict#81 at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:336 [inlined] predict at /home/pkgeval/.julia/packages/XGBoost/nqMqQ/src/booster.jl:336 unknown function (ip: 0x76840df5f66d) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 predict at /home/pkgeval/.julia/packages/MLJXGBoostInterface/i2nzW/src/MLJXGBoostInterface.jl:195 unknown function (ip: 0x76840ab76d7d) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 predict at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/operations.jl:135 unknown function (ip: 0x76840fc58df6) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [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: 0x76840e6275f2) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 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: 0x76840df566bd) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 predict at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/operations.jl:135 unknown function (ip: 0x76840df553a6) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 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: 0x76840df4d896) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 initialize_observed_cache at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/fluctuation.jl:53 fit at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/fluctuation.jl:179 unknown function (ip: 0x76840df4d566) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [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!#65 at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/machines.jl:789 [inlined] fit! at /home/pkgeval/.julia/packages/MLJBase/F1Eh6/src/machines.jl:786 unknown function (ip: 0x76840df4a436) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #fit_mlj_model#47 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/estimators.jl:37 fit_mlj_model at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/estimators.jl:34 unknown function (ip: 0x76840df47d20) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #_#48 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/estimators.jl:58 MLConditionalDistributionEstimator at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/estimators.jl:41 [inlined] #try_fit_ml_estimator#44 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/utils.jl:167 try_fit_ml_estimator at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/utils.jl:159 [inlined] #_#184 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/nuisance_estimators.jl:274 [inlined] CMBasedTMLE at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/nuisance_estimators.jl:264 [inlined] #get_new_targeted_candidate#148 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:218 get_new_targeted_candidate at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:196 unknown function (ip: 0x76840dfb7ffb) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #144 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:83 unknown function (ip: 0x76840dfb40cc) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 iterate at ./generator.jl:48 [inlined] grow_to! at ./array.jl:869 collect at ./array.jl:793 [inlined] map at ./abstractarray.jl:3404 [inlined] #step_k_best_candidate#142 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:72 step_k_best_candidate at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:56 unknown function (ip: 0x76840dfb1768) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #find_optimal_candidate#146 at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:138 find_optimal_candidate at /home/pkgeval/.julia/packages/TMLE/ab8s0/src/counterfactual_mean_based/collaborative_template.jl:118 unknown function (ip: 0x76840dfb0708) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #_#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: 0x76840dfa537c) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 #_#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 [inlined] #test_coverage_and_get_results#4 at /home/pkgeval/.julia/packages/TMLE/ab8s0/test/helper_fns.jl:65 test_coverage_and_get_results at /home/pkgeval/.julia/packages/TMLE/ab8s0/test/helper_fns.jl:61 unknown function (ip: 0x76841fbf445b) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jfptr_wait_forever_67471.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [inlined] do_call at /source/src/interpreter.c:123 jl_apply at /source/src/julia.h:2343 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 23085175 (Pool: 23084619; Big: 556); GC: 25 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 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:2846 _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 _include at ./loading.jl:2906 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_45343.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [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:373 unknown function (ip: 0x768433d38b5e) at (unknown file) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] macro expansion at /home/pkgeval/.julia/packages/TMLE/ab8s0/test/runtests.jl:25 [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:3692 [inlined] ijl_invoke at /source/src/gf.c:3699 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 eval at ./boot.jl:489 include_string at ./loading.jl:2846 _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 _include at ./loading.jl:2906 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_45343.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [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 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 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 exec_options at ./client.jl:290 _start at ./client.jl:557 jfptr__start_74220.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [inlined] true_main at /source/src/jlapi.c:964 jl_repl_entrypoint at /source/src/jlapi.c:1132 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x76843569a249) 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: 1063915623 (Pool: 1063899694; Big: 15929); GC: 351 PkgEval terminated after 2731.48s: test duration exceeded the time limit