Package evaluation to test PolaronPathIntegrals on Julia 1.10.10 (c8be17dcfd*) started at 2026-02-03T06:06:30.629 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.10` Set-up completed after 5.28s ################################################################################ # Installation # Installing PolaronPathIntegrals... Resolving package versions... Installed Conda ── v1.10.3 Installed PyCall ─ v1.96.4 Installed GR ───── v0.49.1 Updating `~/.julia/environments/v1.10/Project.toml` [d6737c65] + PolaronPathIntegrals v0.1.0 Updating `~/.julia/environments/v1.10/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [621f4979] + AbstractFFTs v1.5.0 [537997a7] + AbstractPlotting v0.18.3 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [27a7e980] + Animations v0.4.2 [4fba245c] + ArrayInterface v7.22.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 ⌅ [fa961155] + CEnum v0.4.2 ⌃ [d360d2e6] + ChainRulesCore v1.25.2 [a2cac450] + ColorBrewer v0.4.2 ⌃ [35d6a980] + ColorSchemes v3.26.0 ⌅ [3da002f7] + ColorTypes v0.11.5 ⌅ [c3611d14] + ColorVectorSpace v0.9.10 ⌅ [5ae59095] + Colors v0.12.11 [bbf7d656] + CommonSubexpressions v0.3.1 ⌅ [34da2185] + Compat v3.47.0 [8f4d0f93] + Conda v1.10.3 [187b0558] + ConstructionBase v1.6.0 ⌅ [d38c429a] + Contour v0.5.7 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] 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[b77e0a4c] + InteractiveUtils [4af54fe1] + LazyArtifacts [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.10.0 [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [1a1011a3] + SharedArrays [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.4.0+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.23+5 [05823500] + OpenLibm_jll v0.8.5+0 [efcefdf7] + PCRE2_jll v10.42.0+1 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.52.0+1 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8f06b0cfa4c514c7b9546756dbae91fcfbc92dc9/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Building GR ────→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/1185d50c5c90ec7c0784af7f8d0d1a600750dc4d/build.log` Installation completed after 80.89s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... ┌ Warning: Circular dependency detected. │ Precompilation will be skipped for dependencies in this cycle: │ ┌ Distributions → DistributionsChainRulesCoreExt │ └─ Distributions → DistributionsTestExt │ Precompilation will also be skipped for the following, which depend on the above cycle: │ AbstractPlotting │ PolaronPathIntegrals │ GLMakie │ KernelDensity └ @ Pkg.API.Precompilation /opt/julia/share/julia/stdlib/v1.10/Pkg/src/precompilation.jl:583 Precompiling packages... 5203.1 ms ✓ EllipsisNotation 2503.1 ms ✓ GR 1151.7 ms ✓ Conda 12401.1 ms ✓ ShaderAbstractions 2465.0 ms ✓ QuadGK 4843.5 ms ✓ Interpolations 7059.5 ms ✓ PlotThemes 5705.5 ms ✓ RecipesPipeline 9720.9 ms ✓ Optim 1343.9 ms ✓ IntervalSets 12896.1 ms ✓ PyCall 11175.3 ms ✓ Distributions 7316.2 ms ✓ Interpolations → InterpolationsForwardDiffExt 78434.2 ms ✓ Plots 1820.4 ms ✓ AxisArrays 1608.4 ms ✓ ConstructionBase → ConstructionBaseIntervalSetsExt 5357.7 ms ✓ PyPlot 55291.0 ms ✓ ImageAxes 4411.9 ms ✓ ImageMetadata 4336.5 ms ✓ Netpbm 20 dependencies successfully precompiled in 240 seconds. 212 already precompiled. 6 skipped due to circular dependency. 2 dependencies had output during precompilation: ┌ Optim │ WARNING: method definition for show at /home/pkgeval/.julia/packages/Optim/uwNqi/src/univariate/printing.jl:7 declares type variable T but does not use it. └ ┌ ShaderAbstractions │ WARNING: method definition for centered at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/primitives/rectangles.jl:515 declares type variable N but does not use it. │ WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/meshes.jl:207 declares type variable FT but does not use it. │ WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/meshes.jl:207 declares type variable VT but does not use it. │ WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/meshes.jl:219 declares type variable FT but does not use it. │ WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/meshes.jl:219 declares type variable VT but does not use it. └ Precompilation completed after 248.26s ################################################################################ # Testing # Testing PolaronPathIntegrals Status `/tmp/jl_TZOTJ8/Project.toml` [537997a7] AbstractPlotting v0.18.3 ⌅ [e9467ef8] GLMakie v0.2.9 ⌅ [429524aa] Optim v1.3.0 ⌅ [a03496cd] PlotlyBase v0.5.4 ⌅ [91a5bcdd] Plots v1.13.2 [d6737c65] PolaronPathIntegrals v0.1.0 ⌅ [d330b81b] PyPlot v2.9.0 ⌅ [1fd47b50] QuadGK v2.4.2 [8dfed614] Test Status `/tmp/jl_TZOTJ8/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [537997a7] AbstractPlotting v0.18.3 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [27a7e980] Animations v0.4.2 [4fba245c] ArrayInterface v7.22.0 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 ⌅ [fa961155] CEnum v0.4.2 ⌃ [d360d2e6] ChainRulesCore v1.25.2 [a2cac450] ColorBrewer v0.4.2 ⌃ [35d6a980] ColorSchemes v3.26.0 ⌅ [3da002f7] ColorTypes v0.11.5 ⌅ [c3611d14] ColorVectorSpace v0.9.10 ⌅ [5ae59095] Colors v0.12.11 [bbf7d656] CommonSubexpressions v0.3.1 ⌅ [34da2185] Compat v3.47.0 [8f4d0f93] Conda v1.10.3 [187b0558] ConstructionBase v1.6.0 ⌅ [d38c429a] Contour v0.5.7 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [31c24e10] Distributions v0.25.123 ⌅ [ffbed154] DocStringExtensions v0.8.6 ⌃ [da5c29d0] EllipsisNotation v1.0.0 [c87230d0] FFMPEG v0.4.5 [7a1cc6ca] FFTW v1.10.0 [5789e2e9] FileIO v1.18.0 ⌅ [1a297f60] FillArrays v0.11.9 [6a86dc24] FiniteDiff v2.29.0 [53c48c17] FixedPointNumbers v0.8.5 [59287772] Formatting v0.4.3 ⌃ [f6369f11] 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[56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [8ba89e20] Distributed [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching [9fa8497b] Future [b77e0a4c] InteractiveUtils [4af54fe1] LazyArtifacts [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.10.0 [de0858da] Printf [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [1a1011a3] SharedArrays [6462fe0b] Sockets [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.23+5 [05823500] OpenLibm_jll v0.8.5+0 [efcefdf7] PCRE2_jll v10.42.0+1 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... WARNING: method definition for show at /home/pkgeval/.julia/packages/Optim/uwNqi/src/univariate/printing.jl:7 declares type variable T but does not use it. WARNING: method definition for centered at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/primitives/rectangles.jl:515 declares type variable N but does not use it. WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/meshes.jl:207 declares type variable FT but does not use it. WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/meshes.jl:207 declares type variable VT but does not use it. WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/meshes.jl:219 declares type variable FT but does not use it. WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/wFus0/src/meshes.jl:219 declares type variable VT but does not use it. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. ┌ Warning: Module DistributionsTestExt with build ID ffffffff-ffff-ffff-838e-9e4cfde0030f is missing from the cache. │ This may mean DistributionsTestExt [ffbe0ea5-a612-5ff7-aaf5-cac02eef3019] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2021 ┌ Error: Error during loading of extension DistributionsTestExt of Distributions, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ Declaring __precompile__(false) is not allowed in files that are being precompiled. │ Stacktrace: │ [1] _require(pkg::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2025 │ [2] __require_prelocked(uuidkey::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:1885 │ [3] #invoke_in_world#3 │ @ ./essentials.jl:926 [inlined] │ [4] invoke_in_world │ @ ./essentials.jl:923 [inlined] │ [5] _require_prelocked │ @ ./loading.jl:1876 [inlined] │ [6] _require_prelocked │ @ ./loading.jl:1875 [inlined] │ [7] run_extension_callbacks(extid::Base.ExtensionId) │ @ Base ./loading.jl:1368 │ [8] run_extension_callbacks(pkgid::Base.PkgId) │ @ Base ./loading.jl:1403 │ [9] run_package_callbacks(modkey::Base.PkgId) │ @ Base ./loading.jl:1227 │ [10] __require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:1892 │ [11] #invoke_in_world#3 │ @ ./essentials.jl:926 [inlined] │ [12] invoke_in_world │ @ ./essentials.jl:923 [inlined] │ [13] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:1876 │ [14] macro expansion │ @ ./loading.jl:1863 [inlined] │ [15] macro expansion │ @ ./lock.jl:270 [inlined] │ [16] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:1826 │ [17] #invoke_in_world#3 │ @ ./essentials.jl:926 [inlined] │ [18] invoke_in_world │ @ ./essentials.jl:923 [inlined] │ [19] require(into::Module, mod::Symbol) │ @ Base ./loading.jl:1819 │ [20] include │ @ ./Base.jl:495 [inlined] │ [21] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String) │ @ Base ./loading.jl:2295 │ [22] top-level scope │ @ stdin:4 │ [23] eval │ @ ./boot.jl:385 [inlined] │ [24] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2149 │ [25] include_string │ @ ./loading.jl:2159 [inlined] │ [26] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:314 │ [27] _start() │ @ Base ./client.jl:550 └ @ Base loading.jl:1374 ┌ Warning: precompile directive │ precompile(fbody, (Nothing, Nothing, Nothing, Nothing, Nothing, Al, Tuple{Bool, Bool}, FRect2D, Auto, Auto, Bool, Bool, Symbol, Symbol, Float64, Float64, Emptykwargs, Type{GridLayout}, Int, Int)) │ failed. Please report an issue in GridLayoutBase (after checking for duplicates) or remove this directive. └ @ GridLayoutBase ~/.julia/packages/GridLayoutBase/Ey7ar/src/precompile.jl:31 ┌ Warning: precompile directive │ precompile(fbody, (Nothing, Nothing, Nothing, Nothing, Nothing, Al, Tuple{Bool, Bool}, FRect2D, Auto, Auto, Bool, Bool, Symbol, Symbol, Float64, Float64, Emptykwargs, Type{GridLayout}, Int, Int)) │ failed. Please report an issue in GridLayoutBase (after checking for duplicates) or remove this directive. └ @ GridLayoutBase ~/.julia/packages/GridLayoutBase/Ey7ar/src/precompile.jl:31 ┌ Warning: precompile directive │ precompile(fbody, (Nothing, Nothing, Nothing, Nothing, Nothing, Al, Tuple{Bool, Bool}, FRect2D, Auto, Auto, Bool, Bool, Symbol, Symbol, Float64, Float64, Emptykwargs, Type{GridLayout}, Int, Int)) │ failed. Please report an issue in GridLayoutBase (after checking for duplicates) or remove this directive. └ @ GridLayoutBase ~/.julia/packages/GridLayoutBase/Ey7ar/src/precompile.jl:31 ┌ Warning: Everything from AbstractPlotting.jl got moved to Makie.jl. │ Have a look at the README for information on how to upgrade: │ https://github.com/JuliaPlots/AbstractPlotting.jl └ @ AbstractPlotting ~/.julia/packages/AbstractPlotting/2A5iv/src/AbstractPlotting.jl:261 ┌ Warning: Everything from AbstractPlotting.jl got moved to Makie.jl. │ Have a look at the README for information on how to upgrade: │ https://github.com/JuliaPlots/AbstractPlotting.jl └ @ AbstractPlotting ~/.julia/packages/AbstractPlotting/2A5iv/src/AbstractPlotting.jl:261 WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. [ Info: Installing matplotlib via the Conda matplotlib package... [ Info: Running `conda install -q -y matplotlib` 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: - matplotlib The following packages will be downloaded: package | build ---------------------------|----------------- alsa-lib-1.2.15.3 | hb03c661_0 571 KB conda-forge brotli-1.2.0 | hed03a55_1 20 KB conda-forge brotli-bin-1.2.0 | hb03c661_1 21 KB conda-forge cairo-1.18.4 | he90730b_1 966 KB conda-forge contourpy-1.3.3 | py312h0a2e395_4 313 KB conda-forge cycler-0.12.1 | pyhcf101f3_2 14 KB conda-forge cyrus-sasl-2.1.28 | hd9c7081_0 205 KB conda-forge dbus-1.16.2 | h24cb091_1 437 KB conda-forge double-conversion-3.4.0 | hecca717_0 70 KB conda-forge font-ttf-dejavu-sans-mono-2.37| hab24e00_0 388 KB conda-forge font-ttf-inconsolata-3.000 | h77eed37_0 94 KB conda-forge font-ttf-source-code-pro-2.038| h77eed37_0 684 KB conda-forge font-ttf-ubuntu-0.83 | h77eed37_3 1.5 MB conda-forge fontconfig-2.15.0 | h7e30c49_1 259 KB conda-forge fonts-conda-ecosystem-1 | 0 4 KB conda-forge fonts-conda-forge-1 | hc364b38_1 4 KB conda-forge fonttools-4.61.1 | py312h8a5da7c_0 2.8 MB conda-forge freetype-2.14.1 | ha770c72_0 169 KB conda-forge graphite2-1.3.14 | hecca717_2 97 KB conda-forge harfbuzz-12.3.2 | h6083320_0 1.9 MB conda-forge icu-78.2 | h33c6efd_0 12.1 MB conda-forge kiwisolver-1.4.9 | py312h0a2e395_2 76 KB conda-forge lcms2-2.18 | h0c24ade_0 244 KB conda-forge lerc-4.0.0 | h0aef613_1 258 KB conda-forge libbrotlicommon-1.2.0 | hb03c661_1 78 KB conda-forge libbrotlidec-1.2.0 | hb03c661_1 34 KB conda-forge libbrotlienc-1.2.0 | hb03c661_1 291 KB conda-forge libclang-cpp21.1-21.1.8 |default_h99862b1_2 20.1 MB conda-forge libclang13-21.1.8 |default_h746c552_2 11.8 MB conda-forge libcups-2.3.3 | hb8b1518_5 4.3 MB conda-forge libdeflate-1.25 | h17f619e_0 72 KB conda-forge libdrm-2.4.125 | hb03c661_1 304 KB conda-forge libegl-1.7.0 | ha4b6fd6_2 44 KB conda-forge libfreetype-2.14.1 | ha770c72_0 7 KB conda-forge libfreetype6-2.14.1 | h73754d4_0 378 KB conda-forge libgl-1.7.0 | ha4b6fd6_2 132 KB conda-forge libglib-2.86.3 | h6548e54_0 3.8 MB conda-forge libglvnd-1.7.0 | ha4b6fd6_2 129 KB conda-forge libglx-1.7.0 | ha4b6fd6_2 74 KB conda-forge libjpeg-turbo-3.1.2 | hb03c661_0 619 KB conda-forge libllvm21-21.1.8 | hf7376ad_0 42.3 MB conda-forge libntlm-1.8 | hb9d3cd8_0 33 KB conda-forge libopengl-1.7.0 | ha4b6fd6_2 50 KB conda-forge libpciaccess-0.18 | hb9d3cd8_0 28 KB conda-forge libpng-1.6.54 | h421ea60_0 310 KB conda-forge libpq-18.1 | hb80d175_3 2.6 MB conda-forge libtiff-4.7.1 | h9d88235_1 425 KB conda-forge libvulkan-loader-1.4.341.0 | h5279c79_0 195 KB conda-forge libwebp-base-1.6.0 | hd42ef1d_0 419 KB conda-forge libxcb-1.17.0 | h8a09558_0 387 KB conda-forge libxkbcommon-1.13.1 | hca5e8e5_0 818 KB conda-forge libxml2-2.15.1 | he237659_1 44 KB conda-forge libxml2-16-2.15.1 | hca6bf5a_1 543 KB conda-forge libxslt-1.1.43 | h711ed8c_1 240 KB conda-forge matplotlib-3.10.8 | py312h7900ff3_0 17 KB conda-forge matplotlib-base-3.10.8 | py312he3d6523_0 8.1 MB conda-forge munkres-1.1.4 | pyhd8ed1ab_1 15 KB conda-forge openjpeg-2.5.4 | h55fea9a_0 347 KB conda-forge openldap-2.6.10 | he970967_0 762 KB conda-forge pcre2-10.47 | haa7fec5_0 1.2 MB conda-forge pillow-12.1.0 | py312h50c33e8_0 1005 KB conda-forge pixman-0.46.4 | h54a6638_1 440 KB conda-forge pthread-stubs-0.4 | hb9d3cd8_1002 8 KB conda-forge pyparsing-3.3.2 | pyhcf101f3_0 108 KB conda-forge pyside6-6.10.1 | py312h9da60e5_0 11.1 MB conda-forge python-dateutil-2.9.0.post0| pyhe01879c_2 228 KB conda-forge qhull-2020.2 | h434a139_5 540 KB conda-forge qt6-main-6.10.1 | hb82b983_4 54.6 MB conda-forge six-1.17.0 | pyhe01879c_1 18 KB conda-forge tornado-6.5.4 | py312h961da02_0 831 KB conda-forge unicodedata2-17.0.0 | py312h4c3975b_1 399 KB conda-forge wayland-1.24.0 | hd6090a7_1 322 KB conda-forge xcb-util-0.4.1 | h4f16b4b_2 20 KB conda-forge xcb-util-cursor-0.1.6 | hb03c661_0 20 KB conda-forge xcb-util-image-0.4.0 | hb711507_2 24 KB conda-forge xcb-util-keysyms-0.4.1 | hb711507_0 14 KB conda-forge xcb-util-renderutil-0.3.10 | hb711507_0 17 KB conda-forge xcb-util-wm-0.4.2 | hb711507_0 50 KB conda-forge xkeyboard-config-2.46 | hb03c661_0 388 KB conda-forge xorg-libice-1.1.2 | hb9d3cd8_0 57 KB conda-forge xorg-libsm-1.2.6 | he73a12e_0 27 KB conda-forge xorg-libx11-1.8.12 | h4f16b4b_0 816 KB conda-forge xorg-libxau-1.0.12 | hb03c661_1 15 KB conda-forge xorg-libxcomposite-0.4.7 | hb03c661_0 14 KB conda-forge xorg-libxcursor-1.2.3 | hb9d3cd8_0 32 KB conda-forge xorg-libxdamage-1.1.6 | hb9d3cd8_0 13 KB conda-forge xorg-libxdmcp-1.1.5 | hb03c661_1 20 KB conda-forge xorg-libxext-1.3.7 | hb03c661_0 49 KB conda-forge xorg-libxfixes-6.0.2 | hb03c661_0 20 KB conda-forge xorg-libxi-1.8.2 | hb9d3cd8_0 46 KB conda-forge xorg-libxrandr-1.5.5 | hb03c661_0 30 KB conda-forge xorg-libxrender-0.9.12 | hb9d3cd8_0 32 KB conda-forge xorg-libxtst-1.2.5 | hb9d3cd8_3 32 KB conda-forge xorg-libxxf86vm-1.1.7 | hb03c661_0 18 KB conda-forge zlib-ng-2.3.2 | hceb46e0_1 119 KB conda-forge ------------------------------------------------------------ Total: 195.2 MB The following NEW packages will be INSTALLED: alsa-lib conda-forge/linux-64::alsa-lib-1.2.15.3-hb03c661_0 brotli conda-forge/linux-64::brotli-1.2.0-hed03a55_1 brotli-bin conda-forge/linux-64::brotli-bin-1.2.0-hb03c661_1 cairo conda-forge/linux-64::cairo-1.18.4-he90730b_1 contourpy conda-forge/linux-64::contourpy-1.3.3-py312h0a2e395_4 cycler conda-forge/noarch::cycler-0.12.1-pyhcf101f3_2 cyrus-sasl conda-forge/linux-64::cyrus-sasl-2.1.28-hd9c7081_0 dbus conda-forge/linux-64::dbus-1.16.2-h24cb091_1 double-conversion conda-forge/linux-64::double-conversion-3.4.0-hecca717_0 font-ttf-dejavu-s~ conda-forge/noarch::font-ttf-dejavu-sans-mono-2.37-hab24e00_0 font-ttf-inconsol~ conda-forge/noarch::font-ttf-inconsolata-3.000-h77eed37_0 font-ttf-source-c~ conda-forge/noarch::font-ttf-source-code-pro-2.038-h77eed37_0 font-ttf-ubuntu conda-forge/noarch::font-ttf-ubuntu-0.83-h77eed37_3 fontconfig conda-forge/linux-64::fontconfig-2.15.0-h7e30c49_1 fonts-conda-ecosy~ conda-forge/noarch::fonts-conda-ecosystem-1-0 fonts-conda-forge conda-forge/noarch::fonts-conda-forge-1-hc364b38_1 fonttools conda-forge/linux-64::fonttools-4.61.1-py312h8a5da7c_0 freetype conda-forge/linux-64::freetype-2.14.1-ha770c72_0 graphite2 conda-forge/linux-64::graphite2-1.3.14-hecca717_2 harfbuzz conda-forge/linux-64::harfbuzz-12.3.2-h6083320_0 icu conda-forge/linux-64::icu-78.2-h33c6efd_0 kiwisolver conda-forge/linux-64::kiwisolver-1.4.9-py312h0a2e395_2 lcms2 conda-forge/linux-64::lcms2-2.18-h0c24ade_0 lerc conda-forge/linux-64::lerc-4.0.0-h0aef613_1 libbrotlicommon conda-forge/linux-64::libbrotlicommon-1.2.0-hb03c661_1 libbrotlidec conda-forge/linux-64::libbrotlidec-1.2.0-hb03c661_1 libbrotlienc conda-forge/linux-64::libbrotlienc-1.2.0-hb03c661_1 libclang-cpp21.1 conda-forge/linux-64::libclang-cpp21.1-21.1.8-default_h99862b1_2 libclang13 conda-forge/linux-64::libclang13-21.1.8-default_h746c552_2 libcups conda-forge/linux-64::libcups-2.3.3-hb8b1518_5 libdeflate conda-forge/linux-64::libdeflate-1.25-h17f619e_0 libdrm conda-forge/linux-64::libdrm-2.4.125-hb03c661_1 libegl conda-forge/linux-64::libegl-1.7.0-ha4b6fd6_2 libfreetype conda-forge/linux-64::libfreetype-2.14.1-ha770c72_0 libfreetype6 conda-forge/linux-64::libfreetype6-2.14.1-h73754d4_0 libgl conda-forge/linux-64::libgl-1.7.0-ha4b6fd6_2 libglib conda-forge/linux-64::libglib-2.86.3-h6548e54_0 libglvnd conda-forge/linux-64::libglvnd-1.7.0-ha4b6fd6_2 libglx conda-forge/linux-64::libglx-1.7.0-ha4b6fd6_2 libjpeg-turbo conda-forge/linux-64::libjpeg-turbo-3.1.2-hb03c661_0 libllvm21 conda-forge/linux-64::libllvm21-21.1.8-hf7376ad_0 libntlm conda-forge/linux-64::libntlm-1.8-hb9d3cd8_0 libopengl conda-forge/linux-64::libopengl-1.7.0-ha4b6fd6_2 libpciaccess conda-forge/linux-64::libpciaccess-0.18-hb9d3cd8_0 libpng conda-forge/linux-64::libpng-1.6.54-h421ea60_0 libpq conda-forge/linux-64::libpq-18.1-hb80d175_3 libtiff conda-forge/linux-64::libtiff-4.7.1-h9d88235_1 libvulkan-loader conda-forge/linux-64::libvulkan-loader-1.4.341.0-h5279c79_0 libwebp-base conda-forge/linux-64::libwebp-base-1.6.0-hd42ef1d_0 libxcb conda-forge/linux-64::libxcb-1.17.0-h8a09558_0 libxkbcommon conda-forge/linux-64::libxkbcommon-1.13.1-hca5e8e5_0 libxslt conda-forge/linux-64::libxslt-1.1.43-h711ed8c_1 matplotlib conda-forge/linux-64::matplotlib-3.10.8-py312h7900ff3_0 matplotlib-base conda-forge/linux-64::matplotlib-base-3.10.8-py312he3d6523_0 munkres conda-forge/noarch::munkres-1.1.4-pyhd8ed1ab_1 openjpeg conda-forge/linux-64::openjpeg-2.5.4-h55fea9a_0 openldap conda-forge/linux-64::openldap-2.6.10-he970967_0 pcre2 conda-forge/linux-64::pcre2-10.47-haa7fec5_0 pillow conda-forge/linux-64::pillow-12.1.0-py312h50c33e8_0 pixman conda-forge/linux-64::pixman-0.46.4-h54a6638_1 pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-hb9d3cd8_1002 pyparsing conda-forge/noarch::pyparsing-3.3.2-pyhcf101f3_0 pyside6 conda-forge/linux-64::pyside6-6.10.1-py312h9da60e5_0 python-dateutil conda-forge/noarch::python-dateutil-2.9.0.post0-pyhe01879c_2 qhull conda-forge/linux-64::qhull-2020.2-h434a139_5 qt6-main conda-forge/linux-64::qt6-main-6.10.1-hb82b983_4 six conda-forge/noarch::six-1.17.0-pyhe01879c_1 tornado conda-forge/linux-64::tornado-6.5.4-py312h961da02_0 unicodedata2 conda-forge/linux-64::unicodedata2-17.0.0-py312h4c3975b_1 wayland conda-forge/linux-64::wayland-1.24.0-hd6090a7_1 xcb-util conda-forge/linux-64::xcb-util-0.4.1-h4f16b4b_2 xcb-util-cursor conda-forge/linux-64::xcb-util-cursor-0.1.6-hb03c661_0 xcb-util-image conda-forge/linux-64::xcb-util-image-0.4.0-hb711507_2 xcb-util-keysyms conda-forge/linux-64::xcb-util-keysyms-0.4.1-hb711507_0 xcb-util-renderut~ conda-forge/linux-64::xcb-util-renderutil-0.3.10-hb711507_0 xcb-util-wm conda-forge/linux-64::xcb-util-wm-0.4.2-hb711507_0 xkeyboard-config conda-forge/linux-64::xkeyboard-config-2.46-hb03c661_0 xorg-libice conda-forge/linux-64::xorg-libice-1.1.2-hb9d3cd8_0 xorg-libsm conda-forge/linux-64::xorg-libsm-1.2.6-he73a12e_0 xorg-libx11 conda-forge/linux-64::xorg-libx11-1.8.12-h4f16b4b_0 xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.12-hb03c661_1 xorg-libxcomposite conda-forge/linux-64::xorg-libxcomposite-0.4.7-hb03c661_0 xorg-libxcursor conda-forge/linux-64::xorg-libxcursor-1.2.3-hb9d3cd8_0 xorg-libxdamage conda-forge/linux-64::xorg-libxdamage-1.1.6-hb9d3cd8_0 xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.5-hb03c661_1 xorg-libxext conda-forge/linux-64::xorg-libxext-1.3.7-hb03c661_0 xorg-libxfixes conda-forge/linux-64::xorg-libxfixes-6.0.2-hb03c661_0 xorg-libxi conda-forge/linux-64::xorg-libxi-1.8.2-hb9d3cd8_0 xorg-libxrandr conda-forge/linux-64::xorg-libxrandr-1.5.5-hb03c661_0 xorg-libxrender conda-forge/linux-64::xorg-libxrender-0.9.12-hb9d3cd8_0 xorg-libxtst conda-forge/linux-64::xorg-libxtst-1.2.5-hb9d3cd8_3 xorg-libxxf86vm conda-forge/linux-64::xorg-libxxf86vm-1.1.7-hb03c661_0 zlib-ng conda-forge/linux-64::zlib-ng-2.3.2-hceb46e0_1 The following packages will be UPDATED: libxml2 2.15.1-h031cc0b_0 --> 2.15.1-he237659_1 libxml2-16 2.15.1-hf2a90c1_0 --> 2.15.1-hca6bf5a_1 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ERROR: LoadError: InitError: PyError (PyImport_ImportModule The Python package matplotlib could not be imported by pyimport. Usually this means that you did not install matplotlib in the Python version being used by PyCall. PyCall is currently configured to use the Julia-specific Python distribution installed by the Conda.jl package. To install the matplotlib module, you can use `pyimport_conda("matplotlib", PKG)`, where PKG is the Anaconda package that contains the module matplotlib, or alternatively you can use the Conda package directly (via `using Conda` followed by `Conda.add` etcetera). Alternatively, if you want to use a different Python distribution on your system, such as a system-wide Python (as opposed to the Julia-specific Python), you can re-configure PyCall with that Python. As explained in the PyCall documentation, set ENV["PYTHON"] to the path/name of the python executable you want to use, run Pkg.build("PyCall"), and re-launch Julia. ) ImportError("/opt/julia/bin/../lib/julia/libstdc++.so.6: version `CXXABI_1.3.15' not found (required by /home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/matplotlib/_c_internal_utils.cpython-312-x86_64-linux-gnu.so)") File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/matplotlib/__init__.py", line 161, in from . import _api, _version, cbook, _docstring, rcsetup File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/matplotlib/cbook.py", line 32, in from matplotlib import _api, _c_internal_utils Stacktrace: [1] pyimport(name::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:558 [2] pyimport_conda(modulename::String, condapkg::String, channel::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:722 [3] pyimport_conda @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [inlined] [4] __init__() @ PyPlot ~/.julia/packages/PyPlot/XHEG0/src/init.jl:179 [5] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1196 [6] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1184 [7] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}) @ Base ./loading.jl:1129 [8] _tryrequire_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing) @ Base ./loading.jl:1604 [9] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2063 [10] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:1885 [11] #invoke_in_world#3 @ ./essentials.jl:926 [inlined] [12] invoke_in_world @ ./essentials.jl:923 [inlined] [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:1876 [14] macro expansion @ ./loading.jl:1863 [inlined] [15] macro expansion @ ./lock.jl:270 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:1826 [17] #invoke_in_world#3 @ ./essentials.jl:926 [inlined] [18] invoke_in_world @ ./essentials.jl:923 [inlined] [19] require(into::Module, mod::Symbol) @ Base ./loading.jl:1819 [20] include @ ./Base.jl:495 [inlined] [21] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String) @ Base ./loading.jl:2295 [22] top-level scope @ stdin:4 during initialization of module PyPlot in expression starting at /home/pkgeval/.julia/packages/PolaronPathIntegrals/Zg8d0/src/PolaronPathIntegrals.jl:3 in expression starting at stdin:4 caused by: PyError (PyImport_ImportModule The Python package matplotlib could not be imported by pyimport. Usually this means that you did not install matplotlib in the Python version being used by PyCall. PyCall is currently configured to use the Julia-specific Python distribution installed by the Conda.jl package. To install the matplotlib module, you can use `pyimport_conda("matplotlib", PKG)`, where PKG is the Anaconda package that contains the module matplotlib, or alternatively you can use the Conda package directly (via `using Conda` followed by `Conda.add` etcetera). Alternatively, if you want to use a different Python distribution on your system, such as a system-wide Python (as opposed to the Julia-specific Python), you can re-configure PyCall with that Python. As explained in the PyCall documentation, set ENV["PYTHON"] to the path/name of the python executable you want to use, run Pkg.build("PyCall"), and re-launch Julia. ) ModuleNotFoundError("No module named 'matplotlib'") Stacktrace: [1] pyimport(name::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:558 [2] pyimport_conda(modulename::String, condapkg::String, channel::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:716 [3] pyimport_conda @ ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:715 [inlined] [4] __init__() @ PyPlot ~/.julia/packages/PyPlot/XHEG0/src/init.jl:179 [5] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1196 [6] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1184 [7] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}) @ Base ./loading.jl:1129 [8] _tryrequire_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing) @ Base ./loading.jl:1604 [9] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2063 [10] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:1885 [11] #invoke_in_world#3 @ ./essentials.jl:926 [inlined] [12] invoke_in_world @ ./essentials.jl:923 [inlined] [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:1876 [14] macro expansion @ ./loading.jl:1863 [inlined] [15] macro expansion @ ./lock.jl:270 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:1826 [17] #invoke_in_world#3 @ ./essentials.jl:926 [inlined] [18] invoke_in_world @ ./essentials.jl:923 [inlined] [19] require(into::Module, mod::Symbol) @ Base ./loading.jl:1819 [20] include @ ./Base.jl:495 [inlined] [21] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String) @ Base ./loading.jl:2295 [22] top-level scope @ stdin:4 ERROR: LoadError: Failed to precompile PolaronPathIntegrals [d6737c65-484a-4421-a0d1-26b5c66db56b] to "/home/pkgeval/.julia/compiled/v1.10/PolaronPathIntegrals/jl_sLxQ6S". Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool) @ Base ./loading.jl:2542 [3] compilecache @ ./loading.jl:2414 [inlined] [4] (::Base.var"#971#972"{Base.PkgId})() @ Base ./loading.jl:2047 [5] mkpidlock(f::Base.var"#971#972"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.10/FileWatching/src/pidfile.jl:93 [6] #mkpidlock#6 @ /opt/julia/share/julia/stdlib/v1.10/FileWatching/src/pidfile.jl:88 [inlined] [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.10/FileWatching/src/pidfile.jl:111 [8] #invokelatest#2 @ ./essentials.jl:894 [inlined] [9] invokelatest @ ./essentials.jl:889 [inlined] [10] maybe_cachefile_lock(f::Base.var"#971#972"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64) @ Base ./loading.jl:3057 [11] maybe_cachefile_lock @ ./loading.jl:3054 [inlined] [12] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2043 [13] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:1885 [14] #invoke_in_world#3 @ ./essentials.jl:926 [inlined] [15] invoke_in_world @ ./essentials.jl:923 [inlined] [16] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:1876 [17] macro expansion @ ./loading.jl:1863 [inlined] [18] macro expansion @ ./lock.jl:270 [inlined] [19] __require(into::Module, mod::Symbol) @ Base ./loading.jl:1826 [20] #invoke_in_world#3 @ ./essentials.jl:926 [inlined] [21] invoke_in_world @ ./essentials.jl:923 [inlined] [22] require(into::Module, mod::Symbol) @ Base ./loading.jl:1819 [23] include(fname::String) @ Base.MainInclude ./client.jl:487 [24] top-level scope @ none:6 in expression starting at /home/pkgeval/.julia/packages/PolaronPathIntegrals/Zg8d0/test/runtests.jl:2 Testing failed after 311.13s ERROR: LoadError: Package PolaronPathIntegrals errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Types.jl:70 [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/v1.10/Pkg/src/Operations.jl:2034 [3] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [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::Base.PipeEndpoint}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:444 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::Base.PipeEndpoint, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 680.09s: package fails to precompile