Package evaluation of GlobalSensitivity on Julia 1.10.9 (96dc2d8c45*) started at 2025-06-06T21:32:14.769 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.34s ################################################################################ # Installation # Installing GlobalSensitivity... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [af5da776] + GlobalSensitivity v2.7.0 Updating `~/.julia/environments/v1.10/Manifest.toml` [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 [4fba245c] + ArrayInterface v7.19.0 [13072b0f] + AxisAlgorithms v1.1.0 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [0e736298] + Bessels v0.2.8 [d360d2e6] + ChainRulesCore v1.25.1 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [ab4b797d] + ComplexityMeasures v3.8.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.5.8 [ae264745] + Copulas v0.1.29 [a8cc5b0e] + Crayons v4.1.1 [717857b8] + DSP v0.8.3 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 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To see why use `status --outdated -m` Installation completed after 8.67s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 184.96s ################################################################################ # Testing # Testing GlobalSensitivity Status `/tmp/jl_JkS3OF/Project.toml` [4c88cf16] Aqua v0.8.13 [861a8166] Combinatorics v1.0.3 [ab4b797d] ComplexityMeasures v3.8.1 [ae264745] Copulas v0.1.29 [31c24e10] Distributions v0.25.120 [7a1cc6ca] FFTW v1.9.0 ⌅ [f6369f11] ForwardDiff v0.10.38 [af5da776] GlobalSensitivity v2.7.0 [5ab0869b] KernelDensity v0.6.9 [1dea7af3] OrdinaryDiffEq v6.98.0 [d96e819e] Parameters v0.12.3 [8a4e6c94] QuasiMonteCarlo v0.3.3 [731186ca] RecursiveArrayTools v3.33.0 [1bc83da4] SafeTestsets v0.1.0 [860ef19b] StableRNGs v1.0.3 [2913bbd2] StatsBase v0.34.5 [ac1d9e8a] ThreadsX v0.1.12 [592b5752] Trapz v2.0.3 [37e2e46d] LinearAlgebra [9a3f8284] Random [10745b16] Statistics v1.10.0 [8dfed614] Test Status `/tmp/jl_JkS3OF/Manifest.toml` [47edcb42] ADTypes v1.14.0 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 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constraints restrict them from upgrading. Testing Running tests... [ Info: Morris Method Test Summary: | Pass Total Time Morris Method | 23 23 17m57.3s 1077.794912 seconds (1.13 G allocations: 86.697 GiB, 5.31% gc time, 2.60% compilation time) ┌ Warning: The `generate_design_matrices(n, d, sampler, R = NoRand(), num_mats)` method does not produces true and independent QMC matrices, see [this doc warning](https://docs.sciml.ai/QuasiMonteCarlo/stable/design_matrix/) for more context. │ Prefer using randomization methods such as `R = Shift()`, `R = MatousekScrambling()`, etc., see [documentation](https://docs.sciml.ai/QuasiMonteCarlo/stable/randomization/) └ @ QuasiMonteCarlo ~/.julia/packages/QuasiMonteCarlo/KvLfb/src/RandomizedQuasiMonteCarlo/iterators.jl:255 ┌ Warning: The `generate_design_matrices(n, d, sampler, R = NoRand(), num_mats)` method does not produces true and independent QMC matrices, see [this doc warning](https://docs.sciml.ai/QuasiMonteCarlo/stable/design_matrix/) for more context. │ Prefer using randomization methods such as `R = Shift()`, `R = MatousekScrambling()`, etc., see [documentation](https://docs.sciml.ai/QuasiMonteCarlo/stable/randomization/) └ @ QuasiMonteCarlo ~/.julia/packages/QuasiMonteCarlo/KvLfb/src/RandomizedQuasiMonteCarlo/iterators.jl:255 ┌ Warning: The `generate_design_matrices(n, d, sampler, R = NoRand(), num_mats)` method does not produces true and independent QMC matrices, see [this doc warning](https://docs.sciml.ai/QuasiMonteCarlo/stable/design_matrix/) for more context. │ Prefer using randomization methods such as `R = Shift()`, `R = MatousekScrambling()`, etc., see [documentation](https://docs.sciml.ai/QuasiMonteCarlo/stable/randomization/) └ @ QuasiMonteCarlo ~/.julia/packages/QuasiMonteCarlo/KvLfb/src/RandomizedQuasiMonteCarlo/iterators.jl:255 Test Summary: | Pass Total Time Sobol Method | 26 26 1m15.1s 75.143314 seconds (165.71 M allocations: 11.432 GiB, 12.33% gc time, 45.04% compilation time) WARNING: Method definition f2(Any) in module ##DGSM Method#227 at /home/pkgeval/.julia/packages/GlobalSensitivity/fxoe7/test/DGSM.jl:19 overwritten at /home/pkgeval/.julia/packages/GlobalSensitivity/fxoe7/test/DGSM.jl:49. Test Summary: | Pass Total Time DGSM Method | 16 16 1m07.0s 66.969728 seconds (435.01 M allocations: 12.727 GiB, 14.49% gc time, 17.61% compilation time: <1% of which was recompilation) Test Summary: | Pass Total Time eFAST Method | 20 20 12.3s 12.314190 seconds (8.22 M allocations: 729.975 MiB, 2.83% gc time, 89.09% compilation time) Test Summary: | Pass Total Time RegressionGSA Method | 30 30 29.9s 29.869576 seconds (5.35 M allocations: 355.887 MiB, 99.63% compilation time) 18.975561 seconds (3.66 M allocations: 3.272 GiB, 10.55% gc time, 56.62% compilation time) 0.325231 seconds (148.93 k allocations: 10.162 MiB, 98.83% compilation time) Test Summary: | Pass Total Time DeltaMoment Method | 2 2 26.6s 26.625852 seconds (4.86 M allocations: 6.385 GiB, 8.67% gc time, 43.44% compilation time) Test Summary: | Pass Total Time Fractional factorial method | 2 2 1.4s 1.359474 seconds (376.64 k allocations: 24.739 MiB, 1.48% gc time, 98.75% compilation time) Test Summary: | Pass Total Time Rbd-fast method | 2 2 3.0s 3.026681 seconds (1.58 M allocations: 115.103 MiB, 1.13% gc time, 95.24% compilation time) Test Summary: | Pass Total Time Easi Method | 8 8 6.0s 5.959547 seconds (3.07 M allocations: 241.091 MiB, 2.40% gc time, 92.79% compilation time) [ Info: Since `n_perms` wasn't set the exact version of Shapley will be used 5.607867 seconds (3.95 M allocations: 260.855 MiB, 2.49% gc time, 92.64% compilation time) [ Info: Since `n_perms` wasn't set the exact version of Shapley will be used [ Info: Since `n_perms` wasn't set the exact version of Shapley will be used [ Info: Since `n_perms` wasn't set the exact version of Shapley will be used [ Info: Since `n_perms` wasn't set the exact version of Shapley will be used 23.930640 seconds (24.64 M allocations: 12.802 GiB, 26.66% gc time, 25.05% compilation time) Test Summary: | Pass Total Time Shapley Method | 13 13 47.5s 47.555942 seconds (39.48 M allocations: 14.277 GiB, 14.44% gc time, 58.28% compilation time) Test Summary: | Pass Total Time RSA Method | 4 4 3.6s 3.642073 seconds (1.32 M allocations: 150.145 MiB, 3.47% gc time, 95.61% compilation time) ┌ Warning: The `generate_design_matrices(n, d, sampler, R = NoRand(), num_mats)` method does not produces true and independent QMC matrices, see [this doc warning](https://docs.sciml.ai/QuasiMonteCarlo/stable/design_matrix/) for more context. │ Prefer using randomization methods such as `R = Shift()`, `R = MatousekScrambling()`, etc., see [documentation](https://docs.sciml.ai/QuasiMonteCarlo/stable/randomization/) └ @ QuasiMonteCarlo ~/.julia/packages/QuasiMonteCarlo/KvLfb/src/RandomizedQuasiMonteCarlo/iterators.jl:255 [0.8149166301300568, 1.1100302491434046, 0.6926030791690287, 0.5325449915119265]Test Summary: | Pass Total Time Mutual Information Method | 8 8 34.8s 34.790977 seconds (7.06 M allocations: 6.592 GiB, 1.67% gc time, 28.45% compilation time) 1385.099275 seconds (1.80 G allocations: 139.690 GiB, 6.25% gc time, 12.77% compilation time: <1% of which was recompilation) Testing GlobalSensitivity tests passed Testing completed after 1380.6s PkgEval succeeded after 1607.48s