Package evaluation of MLJScikitLearnInterface on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T11:22:23.415 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.07s ################################################################################ # Installation # Installing MLJScikitLearnInterface... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [5ae90465] + MLJScikitLearnInterface v0.7.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [992eb4ea] + CondaPkg v0.2.27 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [0f8b85d8] + JSON3 v1.14.2 [e80e1ace] + MLJModelInterface v1.11.0 [5ae90465] + MLJScikitLearnInterface v0.7.0 [1914dd2f] + MacroTools v0.5.15 [0b3b1443] + MicroMamba v0.1.14 [bac558e1] + OrderedCollections v1.8.0 [69de0a69] + Parsers v2.8.1 [fa939f87] + Pidfile v1.3.0 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [6099a3de] + PythonCall v0.9.24 [ae029012] + Requires v1.3.1 [30f210dd] + ScientificTypesBase v3.0.0 [6c6a2e73] + Scratch v1.2.1 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [e17b2a0c] + UnsafePointers v1.0.0 [f8abcde7] + micromamba_jll v1.5.8+0 [4d7b5844] + pixi_jll v0.41.3+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization 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 v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+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 3.89s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 76.91s ################################################################################ # Testing # Testing MLJScikitLearnInterface Status `/tmp/jl_Uruwg0/Project.toml` [4c88cf16] Aqua v0.8.11 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.0 [5ae90465] MLJScikitLearnInterface v0.7.0 [72560011] MLJTestInterface v0.2.8 [6099a3de] PythonCall v0.9.24 [860ef19b] StableRNGs v1.0.2 [10745b16] Statistics v1.11.1 [bd369af6] Tables v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Uruwg0/Manifest.toml` [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.11 [dce04be8] ArgCheck v2.5.0 [a9b6321e] Atomix v1.1.1 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [d360d2e6] ChainRulesCore v1.25.1 [3da002f7] ColorTypes v0.12.1 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [992eb4ea] CondaPkg v0.2.27 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.4 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [0f8b85d8] JSON3 v1.14.2 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.34 [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 [e80e1ace] MLJModelInterface v1.11.0 [5ae90465] MLJScikitLearnInterface v0.7.0 [72560011] MLJTestInterface v0.2.8 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.15 [128add7d] MicroCollections v0.2.0 [0b3b1443] MicroMamba v0.1.14 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.30 [71a1bf82] NameResolution v0.1.5 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.33 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.1 [fa939f87] Pidfile v1.3.0 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v2.4.0 [92933f4c] ProgressMeter v1.10.4 [43287f4e] PtrArrays v1.3.0 [6099a3de] PythonCall v0.9.24 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.3.0 [6c6a2e73] Scratch v1.2.1 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.4 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.0 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.2 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [c062fc1d] StatisticalMeasuresBase v0.1.2 [64bff920] StatisticalTraits v3.4.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.4.0 [892a3eda] StringManipulation v0.4.1 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [28d57a85] Transducers v0.4.84 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 [e17b2a0c] UnsafePointers v1.0.0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [f8abcde7] micromamba_jll v1.5.8+0 [4d7b5844] pixi_jll v0.41.3+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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays 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 v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling MLJScikitLearnInterface... Info Given MLJScikitLearnInterface was explicitly requested, output will be shown live   CondaPkg Found dependencies: /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/CondaPkg.toml  CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/WMWY0/CondaPkg.toml  CondaPkg Resolving changes  + libstdcxx-ng  + python  + scikit-learn  CondaPkg Initialising pixi  │ /home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi  │ init  │ --format pixi  └ /tmp/jl_Uruwg0/.CondaPkg ✔ Created /tmp/jl_Uruwg0/.CondaPkg/pixi.toml  CondaPkg Wrote /tmp/jl_Uruwg0/.CondaPkg/pixi.toml  │ [dependencies]  │ libstdcxx-ng = ">=3.4,<13.0"  │  │ [dependencies.scikit-learn]  │ channel = "conda-forge"  │ version = ">=1.4, <1.6"  │  │ [dependencies.python]  │ channel = "conda-forge"  │ build = "*cpython*"  │ version = ">=3.8,<4"  │  │ [project]  │ name = ".CondaPkg"  │ platforms = ["linux-64"]  │ channels = ["conda-forge"]  │ channel-priority = "strict"  └ description = "automatically generated by CondaPkg.jl"  CondaPkg Installing packages  │ /home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi  │ install  └ --manifest-path /tmp/jl_Uruwg0/.CondaPkg/pixi.toml ✔ The default environment has been installed. 59322.6 ms ✓ MLJScikitLearnInterface 1 dependency successfully precompiled in 61 seconds. 54 already precompiled. 1 dependency had output during precompilation: ┌ MLJScikitLearnInterface │ [Output was shown above] └ Precompiling MLJBase... 1109.1 ms ✓ BangBang → BangBangChainRulesCoreExt 2112.6 ms ✓ MLCore 976.3 ms ✓ Rmath_jll 3193.2 ms ✓ StringManipulation 5425.4 ms ✓ Transducers 1684.3 ms ✓ Accessors → StaticArraysExt 1662.4 ms ✓ BangBang → BangBangStaticArraysExt 1914.9 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 3996.9 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2146.9 ms ✓ HypergeometricFunctions 8335.4 ms ✓ KernelAbstractions 1599.1 ms ✓ Rmath 31165.5 ms ✓ PrettyTables 1408.3 ms ✓ Transducers → TransducersAdaptExt 13830.8 ms ✓ FLoops 2140.8 ms ✓ KernelAbstractions → SparseArraysExt 1553.0 ms ✓ KernelAbstractions → LinearAlgebraExt 3300.3 ms ✓ StatsFuns 22711.3 ms ✓ NNlib 1337.1 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 3725.9 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 20568.8 ms ✓ Distributions 2270.2 ms ✓ NNlib → NNlibSpecialFunctionsExt 20522.2 ms ✓ MLUtils 3095.3 ms ✓ Distributions → DistributionsTestExt 3295.0 ms ✓ Distributions → DistributionsChainRulesCoreExt 7413.5 ms ✓ ScientificTypes 15010.7 ms ✓ StatisticalMeasuresBase 6428.5 ms ✓ CategoricalDistributions 31169.7 ms ✓ MLJBase 30 dependencies successfully precompiled in 227 seconds. 113 already precompiled. Precompiling CategoricalArraysStructTypesExt... 940.4 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1 dependency successfully precompiled in 1 seconds. 11 already precompiled. Test Summary: | Pass Total Time reg-mdl | 7 7 1.4s Test Summary: | Pass Total Time clf-mdl | 7 7 0.3s linear-regressors /tmp/jl_Uruwg0/.CondaPkg/.pixi/envs/default/lib/python3.12/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( Test Summary: | Pass Total Time Fit/Predict | 38 38 30.2s Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{ARDRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{ARDRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::ARDRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{BayesianRidgeRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{BayesianRidgeRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::BayesianRidgeRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{ElasticNetRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{ElasticNetRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::ElasticNetRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{ElasticNetCVRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{ElasticNetCVRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::ElasticNetCVRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{HuberRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{HuberRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::HuberRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{LarsRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{LarsRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::LarsRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{LarsCVRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{LarsCVRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::LarsCVRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{LassoRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{LassoRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::LassoRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{LassoCVRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{LassoCVRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::LassoCVRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{LassoLarsRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{LassoLarsRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::LassoLarsRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{LassoLarsCVRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{LassoLarsCVRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::LassoLarsCVRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{LassoLarsICRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{LassoLarsICRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::LassoLarsICRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{LinearRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{LinearRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::LinearRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{OrthogonalMatchingPursuitRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{OrthogonalMatchingPursuitRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::OrthogonalMatchingPursuitRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{OrthogonalMatchingPursuitCVRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{OrthogonalMatchingPursuitCVRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::OrthogonalMatchingPursuitCVRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{PassiveAggressiveRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{PassiveAggressiveRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::PassiveAggressiveRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{RANSACRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{RANSACRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::RANSACRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{RidgeRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{RidgeRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::RidgeRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{RidgeCVRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{RidgeCVRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::RidgeCVRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{SGDRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{SGDRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::SGDRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Docstrings: Error During Test at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 Test threw exception Expression: !(isempty(MB.docstring(m))) MethodError: no method matching doc(::Type{TheilSenRegressor}) The function `doc` exists, but no method is defined for this combination of argument types. Closest candidates are: doc(!Matched::Py) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 doc(!Matched::Py, !Matched::Type) @ PythonCall ~/.julia/packages/PythonCall/WMWY0/src/Core/Py.jl:488 Stacktrace: [1] docstring(M::Type{TheilSenRegressor}) @ MLJModelInterface ~/.julia/packages/MLJModelInterface/y9x5A/src/model_traits.jl:25 [2] docstring(x::TheilSenRegressor) @ StatisticalTraits ~/.julia/packages/StatisticalTraits/4sp0J/src/StatisticalTraits.jl:212 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [4] macro expansion @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:81 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:79 Test Summary: | Error Total Time Docstrings | 21 21 18.5s ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 21 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/models/linear-regressors.jl:78 in expression starting at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/test/runtests.jl:17 Testing failed after 386.01s ERROR: LoadError: Package MLJScikitLearnInterface errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2124 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 504.16s: package tests unexpectedly errored