Package evaluation to test BlockTensorFactorization on Julia 1.14.0-DEV.1893 (b4aba01002*) started at 2026-03-15T16:01:23.697 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.35s ################################################################################ # Installation # Installing BlockTensorFactorization... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [07b766a1] + BlockTensorFactorization v0.4.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [07b766a1] + BlockTensorFactorization v0.4.0 [34da2185] + Compat v4.18.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.1 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [842dd82b] + InlineStrings v1.4.5 [41ab1584] + InvertedIndices v1.3.1 [82899510] + IteratorInterfaceExtensions v1.0.0 [b964fa9f] + LaTeXStrings v1.4.0 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.1 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [08abe8d2] + PrettyTables v3.2.3 [189a3867] + Reexport v1.2.2 [91c51154] + SentinelArrays v1.4.9 [a2af1166] + SortingAlgorithms v1.2.2 [10745b16] + Statistics v1.11.1 [892a3eda] + StringManipulation v0.4.4 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [6462fe0b] + Sockets v1.11.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 4.93s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 1340.6 ms ✓ PooledArrays 4070.9 ms ✓ DataStructures 1111.1 ms ✓ Missings 4206.6 ms ✓ StringManipulation 1544.5 ms ✓ SortingAlgorithms 44419.1 ms ✓ PrettyTables 91417.5 ms ✓ DataFrames 11624.4 ms ✓ BlockTensorFactorization 8 dependencies successfully precompiled in 161 seconds. 32 already precompiled. 9 dependencies precompiled but different versions are currently loaded (Base64, Dates, JuliaSyntaxHighlighting, Logging, Markdown, Printf, StyledStrings, TOML and UUIDs). Restart julia to access the new versions. Otherwise, 12 dependents of these packages may trigger further precompilation to work with the unexpected versions. Precompilation completed after 183.96s ################################################################################ # Testing # Testing BlockTensorFactorization Status `/tmp/jl_4y3FJ4/Project.toml` [07b766a1] BlockTensorFactorization v0.4.0 [10745b16] Statistics v1.11.1 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_4y3FJ4/Manifest.toml` [07b766a1] BlockTensorFactorization v0.4.0 [34da2185] Compat v4.18.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [842dd82b] InlineStrings v1.4.5 [41ab1584] InvertedIndices v1.3.1 [82899510] IteratorInterfaceExtensions v1.0.0 [b964fa9f] LaTeXStrings v1.4.0 [e1d29d7a] Missings v1.2.0 [bac558e1] OrderedCollections v1.8.1 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [08abe8d2] PrettyTables v3.2.3 [189a3867] Reexport v1.2.2 [91c51154] SentinelArrays v1.4.9 [a2af1166] SortingAlgorithms v1.2.2 [10745b16] Statistics v1.11.1 [892a3eda] StringManipulation v0.4.4 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [de0858da] Printf 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 [f489334b] StyledStrings v1.13.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.30+0 [8e850b90] libblastrampoline_jll v5.15.0+0 Testing Running tests... ┌ Warning: Size of core (3, 2) is not compatible with the other factor's dimensions (2, 2) └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/decomposition.jl:235 ┌ Warning: `match_slices!` may not have found the best ordering; using O(n²) greedy approach. └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factormatching.jl:32 ┌ Warning: maximum iteration 2 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 [ Info: converged based on GradientNorm less than Inf [ Info: converged based on GradientNorm less than Inf [ Info: converged based on GradientNorm less than Inf [ Info: converged based on GradientNorm less than Inf [ Info: converged based on GradientNorm less than Inf [ Info: converged based on GradientNorm less than Inf ┌ Warning: maximum iteration 2 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 ┌ Warning: maximum iteration 2 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 ┌ Warning: maximum iteration 2 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 ┌ Warning: maximum iteration 2 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 ┌ Warning: maximum iteration 2 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 [ Info: converged based on RelativeError less than 0.05 [ Info: converged based on RelativeError less than 0.01 ┌ Warning: Initial decomposition does not satisfy the following constraints: AbstractUpdate[Projection(1, ProjectedNormalization(l2norm, l2project!, eachcol)), Projection(2, ProjectedNormalization(l2norm, l2project!, eachcol))]. This may be ok if later iterations satisfy the constraints └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:342 [ Info: converged based on RelativeError less than 0.045 [ Info: converged based on RelativeError less than 0.01 ┌ Warning: Initial decomposition does not satisfy the following constraints: AbstractUpdate[BlockedUpdate([SafeNNProjection(1, ProjectedNormalization(l1norm, projsplx!, eachcol)), Rescale{Missing}(1, ScaledNormalization{Int64}(l1norm, eachcol, 1), missing)]), Projection(2, ProjectedNormalization(isnonnegative_sumtoone, projsplx!, eachcol))]. This may be ok if later iterations satisfy the constraints └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:342 [ Info: converged based on RelativeError less than 0.01 [ Info: converged based on RelativeError less than 0.045 [ Info: Factorizing at scale 16... [ Info: converged based on GradientNorm less than 1 [ Info: Factorizing at scale 8... [ Info: converged based on GradientNorm less than 1 [ Info: Factorizing at scale 4... [ Info: converged based on GradientNorm less than 1 [ Info: Factorizing at scale 2... [ Info: converged based on GradientNorm less than 1 [ Info: Factorizing at scale 1... [ Info: converged based on GradientNorm less than 1 ┌ Warning: Scaling ProjectedNormalization constraints is not implemented (YET!) Leaving the constraint ProjectedNormalization(l1norm, projsplx!, each1slice) alone. └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/multiscale.jl:440 [ Info: Factorizing at scale 32... [ Info: converged based on GradientNNCone less than 1.0e-5 ┌ Warning: Scaling ProjectedNormalization constraints is not implemented (YET!) Leaving the constraint ProjectedNormalization(l1norm, projsplx!, each1slice) alone. └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/multiscale.jl:440 [ Info: Factorizing at scale 16... [ Info: converged based on GradientNNCone less than 1.0e-5 ┌ Warning: Scaling ProjectedNormalization constraints is not implemented (YET!) Leaving the constraint ProjectedNormalization(l1norm, projsplx!, each1slice) alone. └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/multiscale.jl:440 [ Info: Factorizing at scale 8... [ Info: converged based on GradientNNCone less than 1.0e-5 ┌ Warning: Scaling ProjectedNormalization constraints is not implemented (YET!) Leaving the constraint ProjectedNormalization(l1norm, projsplx!, each1slice) alone. └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/multiscale.jl:440 [ Info: Factorizing at scale 4... ┌ Warning: maximum iteration 200 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 ┌ Warning: Scaling ProjectedNormalization constraints is not implemented (YET!) Leaving the constraint ProjectedNormalization(l1norm, projsplx!, each1slice) alone. └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/multiscale.jl:440 [ Info: Factorizing at scale 2... ┌ Warning: maximum iteration 200 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 ┌ Warning: Scaling ProjectedNormalization constraints is not implemented (YET!) Leaving the constraint ProjectedNormalization(l1norm, projsplx!, each1slice) alone. └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/multiscale.jl:440 [ Info: Factorizing at scale 1... ┌ Warning: maximum iteration 200 reached, without convergence └ @ BlockTensorFactorization.Core ~/.julia/packages/BlockTensorFactorization/QAu7d/src/Core/factorize.jl:451 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.6331343180940479 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.35254625206418444 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.0022381061510656623 [ Info: Trying rank=4... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.003622814086714928 [ Info: Trying rank=5... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.004962325257994309 [ Info: Trying rank=6... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.005624874443211515 [ Info: Trying rank=7... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.002853943709194746 [ Info: Trying rank=8... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.0030732062933626217 [ Info: Trying rank=9... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.004367355818602448 [ Info: Trying rank=10... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.004357712597186477 [ Info: Optimal rank found: 3 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.633132741798938 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.35252910181166897 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.002648881868613177 [ Info: Trying rank=4... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.01217370408747805 [ Info: Trying rank=5... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.00444797922298721 [ Info: Trying rank=6... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.005432935696952091 [ Info: Trying rank=7... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.0044854811698997275 [ Info: Trying rank=8... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.0058821746580987435 [ Info: Trying rank=9... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.00471514320980023 [ Info: Trying rank=10... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.004257223637658726 [ Info: Optimal rank found: 3 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.6331324914484306 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.3525524376875428 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.004618041106409338 [ Info: Trying rank=4... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.0032758490412955225 [ Info: Trying rank=5... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.003022036898108048 [ Info: Trying rank=6... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.005945105473302159 [ Info: Trying rank=7... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.007695724697455688 [ Info: Trying rank=8... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.004859322710894958 [ Info: Trying rank=9... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.006294122013195923 [ Info: Trying rank=10... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.01308621268807388 [ Info: Optimal rank found: 3 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.6331357477511032 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.35251964745156067 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.007061250423849124 [ Info: Trying rank=4... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.005368010376439088 [ Info: Trying rank=5... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.006227205120803683 [ Info: Trying rank=6... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.008760175593717062 [ Info: Trying rank=7... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.012758524476589787 [ Info: Trying rank=8... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.008445062081942033 [ Info: Trying rank=9... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.005580186039813116 [ Info: Trying rank=10... [ Info: converged based on GradientNorm less than 1 [ Info: Final relative error = 0.0053617795728376424 [ Info: Optimal rank found: 3 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.7583607661805988 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.4921740166724802 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.2978502937322606 [ Info: Trying rank=4... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 2.437946814507523e-5 [ Info: Trying rank=5... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.0002470329796052974 [ Info: Optimal rank found: 4 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.8088293421656647 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.4921740170672646 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.3953786202972382 [ Info: Optimal rank found: 2 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.7583607661797777 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.4921740167634538 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.39537862111130184 [ Info: Optimal rank found: 2 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.7583607661845612 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.4921740166459596 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.2978502944177712 [ Info: Trying rank=4... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 5.1876487023326123e-5 [ Info: Trying rank=5... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.00011092919223089123 [ Info: Optimal rank found: 4 [ Info: Trying rank=1... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.7583607661769051 [ Info: Trying rank=2... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.4921740167113818 [ Info: Trying rank=3... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 0.29785029462332535 [ Info: Trying rank=4... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 3.315473490660319e-5 [ Info: Trying rank=5... [ Info: converged based on GradientNorm less than 0.01 [ Info: Final relative error = 3.6628712684229484e-5 [ Info: Optimal rank found: 4 Test Summary: | Pass Broken Total Time BlockTensorFactorization | 199 4 203 5m28.5s Utils | 39 39 19.2s Products | 6 6 15.0s Constraints | 41 2 43 42.9s SuperDiagonal | 14 14 2.8s AbstractDecomposition | 41 41 18.8s Matching | 6 6 16.8s BlockUpdates | 13 13 16.9s BlockUpdatedDecomposition | 15 2 17 2m10.2s MultiScale | 14 14 36.6s RankDetection | 10 10 29.1s Testing BlockTensorFactorization tests passed Testing completed after 348.46s PkgEval succeeded after 570.6s