SciML / diffeqpy

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
MIT License
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LoadError: Artifact "OpenSpecFun" was not found by looking in the paths #131

Closed mustafaozen closed 7 months ago

mustafaozen commented 7 months ago

Describe the bug 🐞 While trying to import diffeqpy library

from diffeqpy import de

getting the following error:

ERROR: LoadError: Artifact "OpenSpecFun" was not found by looking in the paths:
  ~/.julia/artifacts/b822d3e3235af3b5f3f3a91d13cc8f3f036630f8
  /Applications/Julia-1.9.app/Contents/Resources/julia/local/share/julia/artifacts/b822d3e3235af3b5f3f3a91d13cc8f3f036630f8
  /Applications/Julia-1.9.app/Contents/Resources/julia/share/julia/artifacts/b822d3e3235af3b5f3f3a91d13cc8f3f036630f8
Try `using Pkg; Pkg.instantiate()` to re-install all missing resources if the artifact is part of a package or call `Pkg.ensure_artifact_installed` (https://pkgdocs.julialang.org/v1/api/#Pkg.Artifacts.ensure_artifact_installed) if not.

Full Stacktrace is provided below.

Expected behavior I expected the library to load without any error

Minimal Reproducible Example πŸ‘‡

conda create --name diffeqenv python=3.10 conda activate diffeqenv pip install diffeqpy python

from diffeqpy import de

with julia version 1.9.4

Error & Stacktrace ⚠️

[ Info: Precompiling DifferentialEquations [0c46a032-eb83-5123-abaf-570d42b7fbaa]
ERROR: LoadError: Artifact "OpenSpecFun" was not found by looking in the paths:
  ~/.julia/artifacts/b822d3e3235af3b5f3f3a91d13cc8f3f036630f8
  /Applications/Julia-1.9.app/Contents/Resources/julia/local/share/julia/artifacts/b822d3e3235af3b5f3f3a91d13cc8f3f036630f8
  /Applications/Julia-1.9.app/Contents/Resources/julia/share/julia/artifacts/b822d3e3235af3b5f3f3a91d13cc8f3f036630f8
Try `using Pkg; Pkg.instantiate()` to re-install all missing resources if the artifact is part of a package or call `Pkg.ensure_artifact_installed` (https://pkgdocs.julialang.org/v1/api/#Pkg.Artifacts.ensure_artifact_installed) if not.
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:35
  [2] _artifact_str(__module__::Module, artifacts_toml::String, name::SubString{String}, path_tail::String, artifact_dict::Dict{String, Any}, hash::Base.SHA1, platform::Base.BinaryPlatforms.Platform, lazyartifacts::Any)
    @ Artifacts /Applications/Julia-1.9.app/Contents/Resources/julia/share/julia/stdlib/v1.9/Artifacts/src/Artifacts.jl:569
  [3] invokelatest(::Any, ::Any, ::Vararg{Any}; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ Base ./essentials.jl:819
  [4] invokelatest(::Any, ::Any, ::Vararg{Any})
    @ Base ./essentials.jl:816
  [5] macro expansion
    @ /Applications/Julia-1.9.app/Contents/Resources/julia/share/julia/stdlib/v1.9/Artifacts/src/Artifacts.jl:703 [inlined]
  [6] find_artifact_dir()
    @ OpenSpecFun_jll ~/.julia/packages/JLLWrappers/pG9bm/src/wrapper_generators.jl:17
  [7] top-level scope
    @ ~/.julia/packages/JLLWrappers/pG9bm/src/wrapper_generators.jl:21
  [8] include(mod::Module, _path::String)
    @ Base ./Base.jl:457
  [9] top-level scope
    @ ~/.julia/packages/JLLWrappers/pG9bm/src/toplevel_generators.jl:192
 [10] include
    @ ./Base.jl:457 [inlined]
 [11] 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:2049
 [12] top-level scope
    @ stdin:3
in expression starting at /Users/mozen/.julia/packages/OpenSpecFun_jll/1Zaof/src/wrappers/x86_64-apple-darwin-libgfortran4.jl:5
in expression starting at /Users/mozen/.julia/packages/OpenSpecFun_jll/1Zaof/src/OpenSpecFun_jll.jl:2
in expression starting at stdin:3
ERROR: LoadError: Failed to precompile OpenSpecFun_jll [efe28fd5-8261-553b-a9e1-b2916fc3738e] to "/Users/mozen/.julia/compiled/v1.9/OpenSpecFun_jll/jl_mLmFmh".
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:2294
  [3] compilecache
    @ ./loading.jl:2167 [inlined]
  [4] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:1805
  [5] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1660
  [6] macro expansion
    @ ./loading.jl:1648 [inlined]
  [7] macro expansion
    @ ./lock.jl:267 [inlined]
  [8] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1611
  [9] include
    @ ./Base.jl:457 [inlined]
 [10] 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:2049
 [11] top-level scope
    @ stdin:3
in expression starting at /Users/mozen/.julia/packages/SpecialFunctions/QH8rV/src/SpecialFunctions.jl:1
in expression starting at stdin:3
ERROR: LoadError: Failed to precompile SpecialFunctions [276daf66-3868-5448-9aa4-cd146d93841b] to "/Users/mozen/.julia/compiled/v1.9/SpecialFunctions/jl_QjkTCI".
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:2294
  [3] compilecache
    @ ./loading.jl:2167 [inlined]
  [4] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:1805
  [5] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1660
  [6] macro expansion
    @ ./loading.jl:1648 [inlined]
  [7] macro expansion
    @ ./lock.jl:267 [inlined]
  [8] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1611
  [9] include
    @ ./Base.jl:457 [inlined]
 [10] 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:2049
 [11] top-level scope
    @ stdin:3
in expression starting at /Users/mozen/.julia/packages/ForwardDiff/PcZ48/src/ForwardDiff.jl:1
in expression starting at stdin:3
ERROR: LoadError: Failed to precompile ForwardDiff [f6369f11-7733-5829-9624-2563aa707210] to "/Users/mozen/.julia/compiled/v1.9/ForwardDiff/jl_nGXIAA".
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:2294
  [3] compilecache
    @ ./loading.jl:2167 [inlined]
  [4] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:1805
  [5] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1660
  [6] macro expansion
    @ ./loading.jl:1648 [inlined]
  [7] macro expansion
    @ ./lock.jl:267 [inlined]
  [8] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1611
  [9] top-level scope
    @ ~/.julia/packages/DiffEqBase/NYLhl/src/DiffEqBase.jl:34
 [10] top-level scope
    @ ~/.julia/packages/DiffEqBase/NYLhl/src/DiffEqBase.jl:9
 [11] include
    @ ./Base.jl:457 [inlined]
 [12] 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:2049
 [13] top-level scope
    @ stdin:3
in expression starting at /Users/mozen/.julia/packages/DiffEqBase/NYLhl/src/DiffEqBase.jl:1
in expression starting at stdin:3
ERROR: LoadError: Failed to precompile DiffEqBase [2b5f629d-d688-5b77-993f-72d75c75574e] to "/Users/mozen/.julia/compiled/v1.9/DiffEqBase/jl_zaoPkc".
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:2294
  [3] compilecache
    @ ./loading.jl:2167 [inlined]
  [4] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:1805
  [5] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1660
  [6] macro expansion
    @ ./loading.jl:1648 [inlined]
  [7] macro expansion
    @ ./lock.jl:267 [inlined]
  [8] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1611
  [9] include
    @ ./Base.jl:457 [inlined]
 [10] 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::Nothing)
    @ Base ./loading.jl:2049
 [11] top-level scope
    @ stdin:3
in expression starting at /Users/mozen/.julia/packages/DifferentialEquations/Tu7HS/src/DifferentialEquations.jl:1
in expression starting at stdin:3
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/mozen/opt/anaconda3/envs/diffeqenv/lib/python3.10/site-packages/diffeqpy/de.py", line 3, in <module>
    de, _ = load_julia_packages("DifferentialEquations, ModelingToolkit")
  File "/Users/mozen/opt/anaconda3/envs/diffeqenv/lib/python3.10/site-packages/diffeqpy/__init__.py", line 85, in load_julia_packages
    return Main.seval(f"import Pkg; Pkg.activate(\"diffeqpy\", shared=true); import {names}; {names}")
  File "/Users/mozen/.julia/packages/PythonCall/wXfah/src/jlwrap/module.jl", line 25, in seval
    return self._jl_callmethod($(pyjl_methodnum(pyjlmodule_seval)), expr)
juliacall.JuliaError: Failed to precompile DifferentialEquations [0c46a032-eb83-5123-abaf-570d42b7fbaa] to "/Users/mozen/.julia/compiled/v1.9/DifferentialEquations/jl_b7uxcz".
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:2294
  [3] compilecache
    @ ./loading.jl:2167 [inlined]
  [4] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:1805
  [5] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:1660
  [6] macro expansion
    @ ./loading.jl:1648 [inlined]
  [7] macro expansion
    @ ./lock.jl:267 [inlined]
  [8] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:1611
  [9] eval
    @ ./boot.jl:370 [inlined]
 [10] eval
    @ ./Base.jl:68 [inlined]
 [11] pyjlmodule_seval(self::Module, expr::Py)
    @ PythonCall ~/.julia/packages/PythonCall/wXfah/src/jlwrap/module.jl:13
 [12] _pyjl_callmethod(f::Any, self_::Ptr{PythonCall.C.PyObject}, args_::Ptr{PythonCall.C.PyObject}, nargs::Int64)
    @ PythonCall ~/.julia/packages/PythonCall/wXfah/src/jlwrap/base.jl:62
 [13] _pyjl_callmethod(o::Ptr{PythonCall.C.PyObject}, args::Ptr{PythonCall.C.PyObject})
    @ PythonCall.C ~/.julia/packages/PythonCall/wXfah/src/cpython/jlwrap.jl:47

Environment (please complete the following information):

Status `~/.julia/environments/v1.9/Project.toml`
  [336ed68f] CSV v0.10.11
  [479239e8] Catalyst v13.5.1
  [a93c6f00] DataFrames v1.6.1
  [0c46a032] DifferentialEquations v7.11.0
  [23fbe1c1] Latexify v0.16.1
  [bcdb8e00] Metaheuristics v3.3.3
βŒƒ [961ee093] ModelingToolkit v8.72.2
  [7f7a1694] Optimization v3.19.3
  [3aafef2f] OptimizationMetaheuristics v0.1.3
  [36348300] OptimizationOptimJL v0.1.13
  [42dfb2eb] OptimizationOptimisers v0.1.6
βŒƒ [1dea7af3] OrdinaryDiffEq v6.58.1
  [91a5bcdd] Plots v1.39.0
  [b4db0fb7] ReactionNetworkImporters v0.14.0
  [86080e66] SBMLToolkit v0.1.25
βŒƒ [1ed8b502] SciMLSensitivity v7.46.0
  [37e2e46d] LinearAlgebra
Info Packages marked with βŒƒ have new versions available and may be upgradable.
Status `~/.julia/environments/v1.9/Manifest.toml`
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Info Packages marked with β†’ are not downloaded, use `instantiate` to download
Info Packages marked with βŒƒ and βŒ… have new versions available. Those with βŒƒ may be upgradable, but those with βŒ… are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`
Julia Version 1.9.4
Commit 8e5136fa297 (2023-11-14 08:46 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: macOS (x86_64-apple-darwin22.4.0)
  CPU: 8 Γ— Apple M1 Pro
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, westmere)
  Threads: 1 on 8 virtual cores
ChrisRackauckas commented 7 months ago
  [336ed68f] CSV v0.10.11
  [479239e8] Catalyst v13.5.1
  [a93c6f00] DataFrames v1.6.1
  [0c46a032] DifferentialEquations v7.11.0
  [23fbe1c1] Latexify v0.16.1
  [bcdb8e00] Metaheuristics v3.3.3
βŒƒ [961ee093] ModelingToolkit v8.72.2
  [7f7a1694] Optimization v3.19.3
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  [b4db0fb7] ReactionNetworkImporters v0.14.0
  [86080e66] SBMLToolkit v0.1.25
βŒƒ [1ed8b502] SciMLSensitivity v7.46.0
  [37e2e46d] LinearAlgebra

Your environment has a bunch of things that diffeqpy doesn't put there, so I presume instead of using the version of Julia provided this is a custom setup? Is this using the Homebrew version?

mkitti commented 7 months ago

I do see an Anaconda environment here as well.

I'm not sure if we support it but there is a conda-forge build of OpenSpecFun.

https://anaconda.org/conda-forge/openspecfun

mustafaozen commented 7 months ago

Thanks for the response! Updating Julia resolved the issue