Package evaluation to test QUnfold on Julia 1.14.0-DEV.30 (073666df8b*) started at 2025-11-04T19:32:45.680 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.71s ################################################################################ # Installation # Installing QUnfold... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [05092f44] + QUnfold v0.0.1 Updating `~/.julia/environments/v1.14/Manifest.toml` [6e4b80f9] + BenchmarkTools v1.6.3 ⌅ [523fee87] + CodecBzip2 v0.7.2 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [f6369f11] + ForwardDiff v0.10.39 ⌅ [b6b21f68] + Ipopt v1.1.0 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 ⌅ [4076af6c] + JuMP v1.6.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 ⌅ [b8f27783] + MathOptInterface v1.11.5 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.7 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.3 ⌅ [f27b6e38] + Polynomials v3.2.13 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [05092f44] + QUnfold v0.0.1 [3cdcf5f2] + RecipesBase v1.3.4 [ae029012] + Requires v1.3.1 [6e75b9c4] + ScikitLearnBase v0.5.0 [66db9d55] + SnoopPrecompile v1.0.3 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 ⌅ [2913bbd2] + StatsBase v0.33.21 ⌅ [3bb67fe8] + TranscodingStreams v0.9.13 [ae81ac8f] + ASL_jll v0.1.3+0 [6e34b625] + Bzip2_jll v1.0.9+0 ⌅ [9cc047cb] + Ipopt_jll v300.1400.400+0 [d00139f3] + METIS_jll v5.1.3+0 ⌅ [d7ed1dd3] + MUMPS_seq_jll v5.4.1+0 [656ef2d0] + OpenBLAS32_jll v0.3.29+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [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 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [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 v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.67.1+0 [3f19e933] + p7zip_jll v17.6.0+0 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 5.11s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 1329.5 ms ✓ MUMPS_seq_jll 8733.5 ms ✓ StatsBase 1600.5 ms ✓ CodecBzip2 1589.7 ms ✓ Ipopt_jll 112972.8 ms ✓ MathOptInterface 23810.8 ms ✓ JuMP 14762.4 ms ✓ Ipopt 26456.1 ms ✓ QUnfold 8 dependencies successfully precompiled in 192 seconds. 76 already precompiled. 1 dependency had output during precompilation: ┌ QUnfold │ WARNING: Constructor for type "SVD" was extended in `QUnfold` without explicit qualification or import. │ NOTE: Assumed "SVD" refers to `LinearAlgebra.SVD`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function SVD end`. │ Hint: To silence the warning, qualify `SVD` as `LinearAlgebra.SVD` in the method signature or explicitly `import LinearAlgebra: SVD`. └ Precompilation completed after 204.34s ################################################################################ # Testing # Testing QUnfold Status `/tmp/jl_IGAgr3/Project.toml` ⌅ [b6b21f68] Ipopt v1.1.0 ⌅ [4076af6c] JuMP v1.6.0 ⌅ [b8f27783] MathOptInterface v1.11.5 [438e738f] PyCall v1.96.4 [05092f44] QUnfold v0.0.1 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 ⌅ [2913bbd2] StatsBase v0.33.21 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_IGAgr3/Manifest.toml` [6e4b80f9] BenchmarkTools v1.6.3 ⌅ [523fee87] CodecBzip2 v0.7.2 [944b1d66] CodecZlib v0.7.8 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [8f4d0f93] Conda v1.10.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [ffbed154] DocStringExtensions v0.9.5 ⌅ [f6369f11] ForwardDiff v0.10.39 [842dd82b] InlineStrings v1.4.5 [41ab1584] InvertedIndices v1.3.1 ⌅ [b6b21f68] Ipopt v1.1.0 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 ⌅ [682c06a0] JSON v0.21.4 ⌅ [4076af6c] JuMP v1.6.0 [b964fa9f] LaTeXStrings v1.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 ⌅ [b8f27783] MathOptInterface v1.11.5 [e1d29d7a] Missings v1.2.0 [d8a4904e] MutableArithmetics v1.6.7 [77ba4419] NaNMath v1.1.3 [bac558e1] OrderedCollections v1.8.1 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 ⌅ [f27b6e38] Polynomials v3.2.13 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [08abe8d2] PrettyTables v3.1.0 [438e738f] PyCall v1.96.4 [05092f44] QUnfold v0.0.1 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [3646fa90] ScikitLearn v0.7.0 [6e75b9c4] ScikitLearnBase v0.5.0 [91c51154] SentinelArrays v1.4.8 [66db9d55] SnoopPrecompile v1.0.3 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 ⌅ [2913bbd2] StatsBase v0.33.21 [892a3eda] StringManipulation v0.4.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 ⌅ [3bb67fe8] TranscodingStreams v0.9.13 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [ae81ac8f] ASL_jll v0.1.3+0 [6e34b625] Bzip2_jll v1.0.9+0 ⌅ [9cc047cb] Ipopt_jll v300.1400.400+0 [d00139f3] METIS_jll v5.1.3+0 ⌅ [d7ed1dd3] MUMPS_seq_jll v5.4.1+0 [656ef2d0] OpenBLAS32_jll v0.3.29+0 [efe28fd5] OpenSpecFun_jll v0.5.6+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 v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [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 [9abbd945] Profile v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.11.0 [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 v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.9.9 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.67.1+0 [3f19e933] p7zip_jll v17.6.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Installing sklearn.ensemble via the Conda scikit-learn package... [ Info: Running `conda install -q -y scikit-learn` in root environment Channels: - conda-forge Platform: linux-64 Collecting package metadata (repodata.json): ...working... done Solving environment: ...working... done ## Package Plan ## environment location: /home/pkgeval/.julia/conda/3/x86_64 added / updated specs: - scikit-learn The following packages will be downloaded: package | build ---------------------------|----------------- joblib-1.5.2 | pyhd8ed1ab_0 219 KB conda-forge scikit-learn-1.7.2 | py312h4f0b9e3_0 9.2 MB conda-forge scipy-1.16.3 | py312h7a1785b_0 16.3 MB conda-forge threadpoolctl-3.6.0 | pyhecae5ae_0 23 KB conda-forge ------------------------------------------------------------ Total: 25.8 MB The following NEW packages will be INSTALLED: joblib conda-forge/noarch::joblib-1.5.2-pyhd8ed1ab_0 scikit-learn conda-forge/linux-64::scikit-learn-1.7.2-py312h4f0b9e3_0 scipy conda-forge/linux-64::scipy-1.16.3-py312h7a1785b_0 threadpoolctl conda-forge/noarch::threadpoolctl-3.6.0-pyhecae5ae_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ┌ Info: OOB predictions └ mean(y_trn .== y_oob) = 0.844 ┌ Info: M_acc │ M_acc = │ 3×3 Matrix{Float64}: │ 0.877907 0.0773994 0.0138614 │ 0.0697674 0.76161 0.10099 │ 0.0523256 0.160991 0.885149 │ M_acc_quapy = │ 3×3 Matrix{Float64}: │ 0.877907 0.0773994 0.0138614 │ 0.0697674 0.76161 0.10099 └ 0.0523256 0.160991 0.885149 ┌ Info: M_pacc │ M_pacc = │ 3×3 Matrix{Float64}: │ 0.829532 0.0677697 0.0179294 │ 0.120693 0.752725 0.120284 │ 0.0497744 0.179506 0.861786 │ M_pacc_quapy = │ 3×3 Matrix{Float64}: │ 0.829532 0.0677697 0.0179294 │ 0.120693 0.752725 0.120284 └ 0.0497744 0.179506 0.861786 Test Summary: | Total Time Transfer matrix estimation | 0 23.4s ┌ Info: Artificial quantification task │ M = │ 3×3 Matrix{Float64}: │ 0.875503 0.0974342 0.0270624 │ 0.0656443 0.818687 0.115669 │ 0.022793 0.111062 0.866145 │ p_tst = │ 3-element Vector{Float64}: │ 0.509 │ 0.325 └ 0.166 ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** ┌ Info: o-ACC (constrained, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.4983417822961005 │ 0.3332913867680044 └ 0.1683668309358952 ┌ Info: ACC (constrained) │ p_hat = │ 3-element Vector{Float64}: │ 0.4996547289152761 │ 0.33038832434459464 └ 0.16995694674012932 ┌ Info: ACC (softmax) │ p_hat = │ 3-element Vector{Float64}: │ 0.4996547302780901 │ 0.33038832593659234 └ 0.1699569437853176 ┌ Info: ACC (softmax_reg) │ p_hat = │ 3-element Vector{Float64}: │ 0.4996508958187402 │ 0.3303780951572771 └ 0.16997100902398263 ┌ Info: ACC (softmax_full_reg) │ p_hat = │ 3-element Vector{Float64}: │ 0.4996528867702258 │ 0.33038574902540147 └ 0.16996136420437286 ┌ Info: ACC (pinv) │ p_hat = │ 3-element Vector{Float64}: │ 0.49965473213100475 │ 0.3303883291928214 └ 0.16995693867617376 ┌ Info: ACC (inv) │ p_hat = │ 3-element Vector{Float64}: │ 0.49965473213100453 │ 0.3303883291928214 └ 0.169956938676174 ┌ Info: CC │ p_hat = │ 3-element Vector{Float64}: │ 0.463 │ 0.303 └ 0.234 ┌ Info: o-PACC (constrained, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.5076016704522269 │ 0.33311149138862645 └ 0.15928683815914654 ┌ Info: PACC (constrained) │ p_hat = │ 3-element Vector{Float64}: │ 0.5152711554041824 │ 0.31654313442170234 └ 0.16818571017411507 ┌ Info: PACC (softmax) │ p_hat = │ 3-element Vector{Float64}: │ 0.5152711541904479 │ 0.3165431269948156 └ 0.1681857188147365 ┌ Info: PACC (softmax_reg) │ p_hat = │ 3-element Vector{Float64}: │ 0.515266737643825 │ 0.31653219845570835 └ 0.16820106390046652 ┌ Info: PACC (softmax_full_reg) │ p_hat = │ 3-element Vector{Float64}: │ 0.5152689383853891 │ 0.31654057759099563 └ 0.16819048402361525 ┌ Info: PACC (pinv) │ p_hat = │ 3-element Vector{Float64}: │ 0.5152711596293067 │ 0.3165431402532082 └ 0.16818570011748493 ┌ Info: PACC (inv) │ p_hat = │ 3-element Vector{Float64}: │ 0.5152711596293066 │ 0.3165431402532084 └ 0.16818570011748513 ┌ Info: PCC │ p_hat = │ 3-element Vector{Float64}: │ 0.44898000000000043 │ 0.3220899999999997 └ 0.22893000000000002 ┌ Info: RUN (constrained, τ=1e-6) │ p_hat = │ 3-element Vector{Float64}: │ 0.5167756714340572 │ 0.33269835882994314 └ 0.1505259697359997 ┌ Info: RUN (softmax, τ=1e-6) │ p_hat = │ 3-element Vector{Float64}: │ 0.5167756793082392 │ 0.3326983626983702 └ 0.15052595799339055 ┌ Info: RUN (softmax_reg, τ=1e-6) │ p_hat = │ 3-element Vector{Float64}: │ 0.5167756771173914 │ 0.33269835742544046 └ 0.15052596545716815 ┌ Info: RUN (softmax_full_reg, τ=1e-6) │ p_hat = │ 3-element Vector{Float64}: │ 0.5167756781044652 │ 0.33269836152184673 └ 0.15052596037368807 ┌ Info: RUN (constrained, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.516759250586853 │ 0.33272390810699154 └ 0.15051684130615545 ┌ Info: RUN (softmax, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.5167592585636778 │ 0.33272391181508354 └ 0.15051682962123875 ┌ Info: RUN (softmax_reg, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.5167592562366669 │ 0.3327239067532835 └ 0.1505168370100497 ┌ Info: RUN (softmax_full_reg, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.5167592573296637 │ 0.3327239106854142 └ 0.15051683198492213 ┌ Info: SVD (constrained, τ=1e-6) │ p_hat = │ 3-element Vector{Float64}: │ 0.5169507342652452 │ 0.3319012394116071 └ 0.15114802632314778 ┌ Info: SVD (softmax, τ=1e-6) │ p_hat = │ 3-element Vector{Float64}: │ 0.5169507454261072 │ 0.33190124538252763 └ 0.15114800919136517 ┌ Info: SVD (softmax_reg, τ=1e-6) │ p_hat = │ 3-element Vector{Float64}: │ 0.5169367819664507 │ 0.33186560475459975 └ 0.15119761327894957 ┌ Info: SVD (softmax_full_reg, τ=1e-6) │ p_hat = │ 3-element Vector{Float64}: │ 0.5169428532172768 │ 0.33189335341669857 └ 0.1511637933660246 ┌ Info: SVD (constrained, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.5160340443111615 │ 0.3333283424890591 └ 0.15063761319977934 ┌ Info: SVD (softmax, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.5160340592292693 │ 0.3333283425091846 └ 0.15063759826154619 ┌ Info: SVD (softmax_reg, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.515997008512507 │ 0.33332821725046075 └ 0.1506747742370323 ┌ Info: SVD (softmax_full_reg, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.5160210340103712 │ 0.3333283144354395 └ 0.15065065155418925 ┌ Info: o-HDx (constrained, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.512950771082687 │ 0.32555080519526286 └ 0.1614984237220501 ┌ Info: HDx (constrained) │ p_hat = │ 3-element Vector{Float64}: │ 0.5081176500731668 │ 0.3222280042450502 └ 0.1696543456817831 ┌ Info: HDx (softmax) │ p_hat = │ 3-element Vector{Float64}: │ 0.504336834746511 │ 0.3255546424654751 └ 0.17010852278801383 ┌ Info: HDx (softmax_reg) │ p_hat = │ 3-element Vector{Float64}: │ 0.504336834746511 │ 0.3255546424654751 └ 0.17010852278801383 ┌ Info: HDx (softmax_full_reg) │ p_hat = │ 3-element Vector{Float64}: │ 0.504336834746511 │ 0.32555464246547516 └ 0.17010852278801383 ┌ Info: o-HDy (constrained, τ=10.0) │ p_hat = │ 3-element Vector{Float64}: │ 0.4957563284504087 │ 0.3321861313209694 └ 0.17205754022862194 ┌ Info: HDy (constrained) │ p_hat = │ 3-element Vector{Float64}: │ 0.5112044445301607 │ 0.32259586714135113 └ 0.1661996883284883 ┌ Info: HDy (softmax) │ p_hat = │ 3-element Vector{Float64}: │ 0.5080628479500846 │ 0.33150561736798595 └ 0.16043153468192953 ┌ Info: HDy (softmax_reg) │ p_hat = │ 3-element Vector{Float64}: │ 0.508063040166438 │ 0.33150516484359466 └ 0.1604317949899673 ┌ Info: HDy (softmax_full_reg) │ p_hat = │ 3-element Vector{Float64}: │ 0.5080627982214988 │ 0.3315055988299696 └ 0.16043160294853173 ┌ Info: RUN (original, n_df=2) │ p_hat = │ 3-element Vector{Float64}: │ 0.516124110197201 │ 0.3321128485905054 └ 0.15176304121229364 ┌ Info: SVD (original, n_df=2) │ p_hat = │ 3-element Vector{Float64}: │ 0.42248784256238403 │ 0.3314081667029625 └ 0.24610399073465344 ┌ Info: IBU (o=0, λ=1.) │ p_hat = │ 3-element Vector{Float64}: │ 0.47983967577859854 │ 0.3243536937460596 └ 0.19580663047534191 ┌ Info: o-SLD (o=0, λ=1.) │ p_hat = │ 3-element Vector{Float64}: │ 0.47650262214385825 │ 0.3190915808713541 └ 0.2044057969847875 Test Summary: | Total Time Execution of all methods | 0 2m59.6s Testing QUnfold tests passed Testing completed after 363.67s PkgEval succeeded after 615.87s