Package evaluation of PyDSTool on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T17:07:01.374 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.51s ################################################################################ # Installation # Installing PyDSTool... Resolving package versions... Installed Conda ── v1.10.2 Installed PyCall ─ v1.96.4 Updating `~/.julia/environments/v1.11/Project.toml` [7186c646] + PyDSTool v0.6.1 Updating `~/.julia/environments/v1.11/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [4fba245c] + ArrayInterface v7.18.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.6 [fb6a15b2] + CloseOpenIntervals v0.1.13 [38540f10] + CommonSolve v0.2.4 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [8f4d0f93] + Conda v1.10.2 [187b0558] + ConstructionBase v1.5.8 [adafc99b] + CpuId v0.3.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [2b5f629d] + DiffEqBase v6.167.2 [ffbed154] + DocStringExtensions v0.9.4 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.8 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.1.2 [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 v0.21.4 [ae98c720] + Jieko v0.2.1 [10f19ff3] + LayoutPointers v0.1.17 [1914dd2f] + MacroTools v0.5.15 [d125e4d3] + ManualMemory v0.1.8 [2e0e35c7] + Moshi v0.3.5 [46d2c3a1] + MuladdMacro v0.2.4 [bac558e1] + OrderedCollections v1.8.0 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.1 [f517fe37] + Polyester v0.7.16 [1d0040c9] + PolyesterWeave v0.2.2 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [438e738f] + PyCall v1.96.4 [7186c646] + PyDSTool v0.6.1 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.31.2 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.13 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.82.1 [c0aeaf25] + SciMLOperators v0.3.13 [53ae85a6] + SciMLStructures v1.7.0 [efcf1570] + Setfield v1.1.2 [aedffcd0] + Static v1.2.0 [0d7ed370] + StaticArrayInterface v1.8.0 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [7792a7ef] + StrideArraysCore v0.5.7 [2efcf032] + SymbolicIndexingInterface v0.3.38 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [8290d209] + ThreadingUtilities v0.5.2 [781d530d] + TruncatedStacktraces v1.4.0 [3a884ed6] + UnPack v1.0.2 [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 [a63ad114] + Mmap 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/b19db3927f0db4151cb86d073689f2428e524576/build.log` Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/9816a3826b0ebf49ab4926e2b18842ad8b5c8f04/build.log` Installation completed after 69.82s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 78.48s ################################################################################ # Testing # Testing PyDSTool Status `/tmp/jl_Zs4wAN/Project.toml` [8f4d0f93] Conda v1.10.2 [864edb3b] DataStructures v0.18.22 [2b5f629d] DiffEqBase v6.167.2 [65888b18] ParameterizedFunctions v5.17.2 [438e738f] PyCall v1.96.4 [7186c646] PyDSTool v0.6.1 [3cdcf5f2] RecipesBase v1.3.4 [37e2e46d] LinearAlgebra v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Zs4wAN/Manifest.toml` [47edcb42] ADTypes v1.14.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.18.0 [4c555306] ArrayLayouts v1.11.1 [e2ed5e7c] Bijections v0.1.9 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.5.0 [70df07ce] BracketingNonlinearSolve v1.1.3 [2a0fbf3d] CPUSummary v0.2.6 [00ebfdb7] CSTParser v3.4.3 [d360d2e6] ChainRulesCore v1.25.1 [fb6a15b2] CloseOpenIntervals v0.1.13 [861a8166] Combinatorics v1.0.2 ⌅ [a80b9123] CommonMark v0.8.16 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.16.0 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [8f4d0f93] Conda v1.10.2 [187b0558] ConstructionBase v1.5.8 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [2b5f629d] DiffEqBase v6.167.2 [459566f4] DiffEqCallbacks v4.4.0 [77a26b50] DiffEqNoiseProcess v5.24.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.6.50 [8d63f2c5] DispatchDoctor v0.4.19 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.4 [5b8099bc] DomainSets v0.7.15 [7c1d4256] DynamicPolynomials v0.6.1 [06fc5a27] DynamicQuantities v1.8.0 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.8 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.1.2 [1a297f60] FillArrays v1.13.0 [64ca27bc] FindFirstFunctions v1.4.1 [6a86dc24] FiniteDiff v2.27.0 [1fa38f19] Format v1.3.7 ⌅ [f6369f11] ForwardDiff v0.10.38 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [c27321d9] Glob v1.3.1 [86223c79] Graphs v1.12.1 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [d25df0c9] Inflate v0.1.5 [18e54dd8] IntegerMathUtils v0.1.2 [8197267c] IntervalSets v0.7.10 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [ae98c720] Jieko v0.2.1 ⌅ [98e50ef6] JuliaFormatter v1.0.62 [ccbc3e58] JumpProcesses v9.14.2 [ba0b0d4f] Krylov v0.9.10 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.7 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.6.1 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.3.0 [7ed4a6bd] LinearSolve v3.7.2 [2ab3a3ac] LogExpFunctions v0.3.29 [d8e11817] MLStyle v0.4.17 [1914dd2f] MacroTools v0.5.15 [d125e4d3] ManualMemory v0.1.8 [bb5d69b7] MaybeInplace v0.1.4 [e1d29d7a] Missings v1.2.0 [961ee093] ModelingToolkit v9.71.0 [2e0e35c7] Moshi v0.3.5 [46d2c3a1] MuladdMacro v0.2.4 [102ac46a] MultivariatePolynomials v0.5.7 [d8a4904e] MutableArithmetics v1.6.4 [d41bc354] NLSolversBase v7.9.1 [77ba4419] NaNMath v1.1.3 [8913a72c] NonlinearSolve v4.5.1 [be0214bd] NonlinearSolveBase v1.5.2 [5959db7a] NonlinearSolveFirstOrder v1.3.1 [9a2c21bd] NonlinearSolveQuasiNewton v1.2.1 [26075421] NonlinearSolveSpectralMethods v1.1.1 [6fe1bfb0] OffsetArrays v1.16.0 [429524aa] Optim v1.12.0 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.33 [65888b18] ParameterizedFunctions v5.17.2 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.1 [e409e4f3] PoissonRandom v0.4.4 [f517fe37] Polyester v0.7.16 [1d0040c9] PolyesterWeave v0.2.2 [85a6dd25] PositiveFactorizations v0.2.4 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [27ebfcd6] Primes v0.5.7 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [7186c646] PyDSTool v0.6.1 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.0 [e6cf234a] RandomNumbers v1.6.0 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.31.2 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [ae5879a3] ResettableStacks v1.1.1 [79098fc4] Rmath v0.8.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.13 [9dfe8606] SCCNonlinearSolve v1.0.0 [94e857df] SIMDTypes v0.1.0 [0bca4576] SciMLBase v2.82.1 [19f34311] SciMLJacobianOperators v0.1.2 [c0aeaf25] SciMLOperators v0.3.13 [53ae85a6] SciMLStructures v1.7.0 [efcf1570] Setfield v1.1.2 [727e6d20] SimpleNonlinearSolve v2.2.1 [699a6c99] SimpleTraits v0.9.4 [a2af1166] SortingAlgorithms v1.2.1 [0a514795] 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[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... [ Info: Installing PyDSTool via the Conda pydstool 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:201: FutureWarning: Adding 'defaults' to channel list implicitly is deprecated and will be removed in 25.3. 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 pydstool` 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: - pydstool The following packages will be downloaded: package | build ---------------------------|----------------- pydstool-0.91.0 | pyh9f0ad1d_0 3.0 MB conda-forge scipy-1.15.2 | py312ha707e6e_0 16.3 MB conda-forge ------------------------------------------------------------ Total: 19.3 MB The following NEW packages will be INSTALLED: pydstool conda-forge/noarch::pydstool-0.91.0-pyh9f0ad1d_0 scipy conda-forge/linux-64::scipy-1.15.2-py312ha707e6e_0 Preparing transaction: ...working... done Verifying transaction: ...working... done Executing transaction: ...working... done ┌ Warning: `getindex(o::PyObject, s::AbstractString)` is deprecated in favor of dot overloading (`getproperty`) so elements should now be accessed as e.g. `o."s"` instead of `o["s"]`. │ caller = __init__() at PyDSTool.jl:23 └ @ PyDSTool ~/.julia/packages/PyDSTool/zytsh/src/PyDSTool.jl:23 ERROR: LoadError: InitError: PyError (PyImport_ImportModule The Python package _pydstool_jl_hack could not be imported by pyimport. Usually this means that you did not install _pydstool_jl_hack 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 _pydstool_jl_hack module, you can use `pyimport_conda("_pydstool_jl_hack", PKG)`, where PKG is the Anaconda package that contains the module _pydstool_jl_hack, 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 'numpy.distutils'") File "/home/pkgeval/.julia/packages/PyDSTool/zytsh/src/_pydstool_jl_hack.py", line 29, in import PyDSTool File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/PyDSTool/__init__.py", line 58, in from .Events import * File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/PyDSTool/Events.py", line 12, in from .Variable import * File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/PyDSTool/Variable.py", line 9, in from .utils import * File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/PyDSTool/utils.py", line 6, in from numpy.distutils import misc_util Stacktrace: [1] pyimport(name::String) @ PyCall ~/.julia/packages/PyCall/1gn3u/src/PyCall.jl:558 [2] __init__() @ PyDSTool ~/.julia/packages/PyDSTool/zytsh/src/PyDSTool.jl:24 [3] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1378 [4] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1366 [5] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}, ignore_native::Nothing; register::Bool) @ Base ./loading.jl:1254 [6] _include_from_serialized (repeats 2 times) @ ./loading.jl:1210 [inlined] [7] _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 [8] _require(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2527 [9] __require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2388 [10] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [11] invoke_in_world @ ./essentials.jl:1086 [inlined] [12] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2375 [13] macro expansion @ ./loading.jl:2314 [inlined] [14] macro expansion @ ./lock.jl:273 [inlined] [15] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2271 [16] #invoke_in_world#3 @ ./essentials.jl:1089 [inlined] [17] invoke_in_world @ ./essentials.jl:1086 [inlined] [18] require(into::Module, mod::Symbol) @ Base ./loading.jl:2260 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 during initialization of module PyDSTool in expression starting at /home/pkgeval/.julia/packages/PyDSTool/zytsh/test/runtests.jl:1 caused by: PyError (PyImport_ImportModule The Python package PyDSTool could not be imported by pyimport. Usually this means that you did not install PyDSTool 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 PyDSTool module, you can use `pyimport_conda("PyDSTool", PKG)`, where PKG is the Anaconda package that contains the module PyDSTool, 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 'numpy.distutils'") File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/PyDSTool/__init__.py", line 58, in from .Events import * File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/PyDSTool/Events.py", line 12, in from .Variable import * File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/PyDSTool/Variable.py", line 9, in from .utils import * File "/home/pkgeval/.julia/conda/3/x86_64/lib/python3.12/site-packages/PyDSTool/utils.py", line 6, in from numpy.distutils import misc_util 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__() @ PyDSTool ~/.julia/packages/PyDSTool/zytsh/src/PyDSTool.jl:11 [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 caused by: PyError (PyImport_ImportModule The Python package PyDSTool could not be imported by pyimport. Usually this means that you did not install PyDSTool 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 PyDSTool module, you can use `pyimport_conda("PyDSTool", PKG)`, where PKG is the Anaconda package that contains the module PyDSTool, 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 'PyDSTool'") 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__() @ PyDSTool ~/.julia/packages/PyDSTool/zytsh/src/PyDSTool.jl:11 [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 50.64s ERROR: LoadError: Package PyDSTool 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 283.81s: package tests unexpectedly errored