Package evaluation to test SciPyDiffEq on Julia 1.11.7 (58327cce5e*) started at 2025-10-29T01:33:29.213 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.65s ################################################################################ # Installation # Installing SciPyDiffEq... Resolving package versions... Installed Conda ── v1.10.3 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.11/Project.toml` [505e40e9] + SciPyDiffEq v0.2.1 Updating `~/.julia/environments/v1.11/Manifest.toml` [47edcb42] + ADTypes v1.18.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [4fba245c] + ArrayInterface v7.22.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.7 [fb6a15b2] + CloseOpenIntervals v0.1.13 [38540f10] + CommonSolve v0.2.4 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [8f4d0f93] + Conda v1.10.3 [187b0558] + ConstructionBase v1.6.0 [adafc99b] + CpuId v0.3.1 [2b5f629d] + DiffEqBase v6.190.2 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.15 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.1.3 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [615f187c] + IfElse v0.1.1 [3587e190] + InverseFunctions v0.1.17 [82899510] + IteratorInterfaceExtensions v1.0.0 [682c06a0] + JSON v1.2.0 [ae98c720] + Jieko v0.2.1 [10f19ff3] + LayoutPointers v0.1.17 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [2e0e35c7] + Moshi v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 [69de0a69] + Parsers v2.8.3 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [d236fae5] + PreallocationTools v0.4.34 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.0 [438e738f] + PyCall v1.96.4 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.39.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.124.0 [a6db7da4] + SciMLLogging v1.3.1 [c0aeaf25] + SciMLOperators v1.9.0 [431bcebd] + SciMLPublic v1.0.0 [53ae85a6] + SciMLStructures v1.7.0 [505e40e9] + SciPyDiffEq v0.2.1 [efcf1570] + Setfield v1.1.2 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.8.0 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [7792a7ef] + StrideArraysCore v0.5.8 [ec057cc2] + StructUtils v2.5.1 [2efcf032] + SymbolicIndexingInterface v0.3.46 [8290d209] + ThreadingUtilities v0.5.5 [781d530d] + TruncatedStacktraces v1.4.0 [81def892] + VersionParsing v1.3.0 [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 [b27032c2] + LibCURL v0.6.4 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.2.0 [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 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+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 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them 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` Installation completed after 71.96s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 49.01s ################################################################################ # Testing # Testing SciPyDiffEq Status `/tmp/jl_hAWdUh/Project.toml` [2b5f629d] DiffEqBase v6.190.2 [438e738f] PyCall v1.96.4 [189a3867] Reexport v1.2.2 [505e40e9] SciPyDiffEq v0.2.1 [8dfed614] Test v1.11.0 Status `/tmp/jl_hAWdUh/Manifest.toml` [47edcb42] ADTypes v1.18.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [4fba245c] ArrayInterface v7.22.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.7 [fb6a15b2] CloseOpenIntervals v0.1.13 [38540f10] CommonSolve v0.2.4 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [8f4d0f93] Conda v1.10.3 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [2b5f629d] DiffEqBase v6.190.2 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.15 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.1.3 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [46192b85] GPUArraysCore v0.2.0 [615f187c] IfElse v0.1.1 [3587e190] InverseFunctions v0.1.17 [82899510] IteratorInterfaceExtensions v1.0.0 [682c06a0] JSON v1.2.0 [ae98c720] Jieko v0.2.1 [10f19ff3] LayoutPointers v0.1.17 [e6f89c97] LoggingExtras v1.2.0 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [69de0a69] Parsers v2.8.3 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [d236fae5] PreallocationTools v0.4.34 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.0 [438e738f] PyCall v1.96.4 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.39.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 [94e857df] SIMDTypes v0.1.0 [0bca4576] SciMLBase v2.124.0 [a6db7da4] SciMLLogging v1.3.1 [c0aeaf25] SciMLOperators v1.9.0 [431bcebd] SciMLPublic v1.0.0 [53ae85a6] SciMLStructures v1.7.0 [505e40e9] SciPyDiffEq v0.2.1 [efcf1570] Setfield v1.1.2 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.8.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [7792a7ef] StrideArraysCore v0.5.8 [ec057cc2] StructUtils v2.5.1 [2efcf032] SymbolicIndexingInterface v0.3.46 [8290d209] ThreadingUtilities v0.5.5 [781d530d] TruncatedStacktraces v1.4.0 [81def892] VersionParsing v1.3.0 [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 [b27032c2] LibCURL v0.6.4 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.2.0 [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 [fa267f1f] TOML v1.0.3 [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 [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 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... [ Info: Installing scipy.integrate via the Conda scipy package... [ Info: Running `conda config --add channels conda-forge --file /home/pkgeval/.julia/conda/3/x86_64/condarc-julia.yml --force` in root environment /home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/conda/base/context.py:198: FutureWarning: Adding 'defaults' to channel list implicitly is deprecated and will be removed in 25.9. To remove this warning, please choose a default channel explicitly with conda's regular configuration system, e.g. by adding 'defaults' to the list of channels: conda config --add channels defaults For more information see https://docs.conda.io/projects/conda/en/stable/user-guide/configuration/use-condarc.html deprecated.topic( [ Info: Running `conda install -q -y scipy` in root environment Channels: - conda-forge - defaults 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: - scipy The following packages will be downloaded: package | build ---------------------------|----------------- scipy-1.16.3 | py312h7a1785b_0 16.3 MB conda-forge ------------------------------------------------------------ Total: 16.3 MB The following NEW packages will be INSTALLED: scipy conda-forge/linux-64::scipy-1.16.3-py312h7a1785b_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ERROR: LoadError: InitError: PyError (PyImport_ImportModule The Python package scipy.integrate could not be imported by pyimport. Usually this means that you did not install scipy.integrate 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 scipy.integrate module, you can use `pyimport_conda("scipy.integrate", PKG)`, where PKG is the Anaconda package that contains the module scipy.integrate, 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/scipy/optimize/_highspy/_core.cpython-312-x86_64-linux-gnu.so)") File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/integrate/__init__.py", line 107, in from ._bvp import solve_bvp File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/integrate/_bvp.py", line 9, in from scipy.optimize import OptimizeResult File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/optimize/__init__.py", line 435, in from ._linprog import linprog, linprog_verbose_callback File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/optimize/_linprog.py", line 21, in from ._linprog_highs import _linprog_highs File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/optimize/_linprog_highs.py", line 20, in from ._highspy._highs_wrapper import _highs_wrapper File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/scipy/optimize/_highspy/_highs_wrapper.py", line 4, in import scipy.optimize._highspy._core as _h # type: ignore[import-not-found] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 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] __init__() @ SciPyDiffEq ~/.julia/packages/SciPyDiffEq/HEvDK/src/SciPyDiffEq.jl:18 [4] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1378 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1366 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}, ignore_native::Nothing; register::Bool) @ Base ./loading.jl:1254 [7] _include_from_serialized (repeats 2 times) @ ./loading.jl:1210 [inlined] [8] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2057 [9] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2527 [10] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2388 [11] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [12] invoke_in_world @ ./essentials.jl:1086 [inlined] [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2375 [14] macro expansion @ ./loading.jl:2314 [inlined] [15] macro expansion @ ./lock.jl:273 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2271 [17] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [18] invoke_in_world @ ./essentials.jl:1086 [inlined] [19] require(into::Module, mod::Symbol) @ Base ./loading.jl:2260 [20] include(fname::String) @ Main ./sysimg.jl:38 [21] top-level scope @ none:6 during initialization of module SciPyDiffEq in expression starting at /home/pkgeval/.julia/packages/SciPyDiffEq/HEvDK/test/runtests.jl:1 caused by: PyError (PyImport_ImportModule The Python package scipy.integrate could not be imported by pyimport. Usually this means that you did not install scipy.integrate 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 scipy.integrate module, you can use `pyimport_conda("scipy.integrate", PKG)`, where PKG is the Anaconda package that contains the module scipy.integrate, 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 'scipy'") 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] __init__() @ SciPyDiffEq ~/.julia/packages/SciPyDiffEq/HEvDK/src/SciPyDiffEq.jl:18 [4] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1378 [5] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1366 [6] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}, ignore_native::Nothing; register::Bool) @ Base ./loading.jl:1254 [7] _include_from_serialized (repeats 2 times) @ ./loading.jl:1210 [inlined] [8] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2057 [9] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2527 [10] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2388 [11] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [12] invoke_in_world @ ./essentials.jl:1086 [inlined] [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2375 [14] macro expansion @ ./loading.jl:2314 [inlined] [15] macro expansion @ ./lock.jl:273 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2271 [17] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [18] invoke_in_world @ ./essentials.jl:1086 [inlined] [19] require(into::Module, mod::Symbol) @ Base ./loading.jl:2260 [20] include(fname::String) @ Main ./sysimg.jl:38 [21] top-level scope @ none:6 Testing failed after 41.72s ERROR: LoadError: Package SciPyDiffEq 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:2128 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2011 [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 193.21s: package tests unexpectedly errored