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1.6.0-DEV-cbd854b0f4.log
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1.6.0-DEV-cbd854b0f4.log
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Julia Version 1.6.0-DEV.185
Commit cbd854b0f4 (2020-06-06 13:20 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed CompilerSupportLibraries_jll ─ v0.3.3+0
Installed Wynn ───────────────────────── v0.0.3
Installed Conda ──────────────────────── v1.4.1
Installed Parsers ────────────────────── v1.0.5
Installed RecipesBase ────────────────── v1.0.1
Installed MacroTools ─────────────────── v0.5.5
Installed PyCall ─────────────────────── v1.91.4
Installed VersionParsing ─────────────── v1.2.0
Installed SymPy ──────────────────────── v1.0.25
Installed SpecialFunctions ───────────── v0.10.3
Installed JSON ───────────────────────── v0.21.0
Updating `~/.julia/environments/v1.6/Project.toml`
[fbb19de7] + Wynn v0.0.3
Updating `~/.julia/environments/v1.6/Manifest.toml`
[e66e0078] + CompilerSupportLibraries_jll v0.3.3+0
[8f4d0f93] + Conda v1.4.1
[682c06a0] + JSON v0.21.0
[1914dd2f] + MacroTools v0.5.5
[efe28fd5] + OpenSpecFun_jll v0.5.3+3
[69de0a69] + Parsers v1.0.5
[438e738f] + PyCall v1.91.4
[3cdcf5f2] + RecipesBase v1.0.1
[276daf66] + SpecialFunctions v0.10.3
[24249f21] + SymPy v1.0.25
[81def892] + VersionParsing v1.2.0
[fbb19de7] + Wynn v0.0.3
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8ba89e20] + Distributed
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[6462fe0b] + Sockets
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Conda ─→ `~/.julia/packages/Conda/3rPhK/deps/build.log`
Building PyCall → `~/.julia/packages/PyCall/zqDXB/deps/build.log`
Testing Wynn
Status `/tmp/jl_TktYp4/Project.toml`
[24249f21] SymPy v1.0.25
[fbb19de7] Wynn v0.0.3
[8dfed614] Test
Status `/tmp/jl_TktYp4/Manifest.toml`
[e66e0078] CompilerSupportLibraries_jll v0.3.3+0
[8f4d0f93] Conda v1.4.1
[682c06a0] JSON v0.21.0
[1914dd2f] MacroTools v0.5.5
[efe28fd5] OpenSpecFun_jll v0.5.3+3
[69de0a69] Parsers v1.0.5
[438e738f] PyCall v1.91.4
[3cdcf5f2] RecipesBase v1.0.1
[276daf66] SpecialFunctions v0.10.3
[24249f21] SymPy v1.0.25
[81def892] VersionParsing v1.2.0
[fbb19de7] Wynn v0.0.3
[2a0f44e3] Base64
[ade2ca70] Dates
[8ba89e20] Distributed
[b77e0a4c] InteractiveUtils
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[44cfe95a] Pkg
[de0858da] Printf
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[6462fe0b] Sockets
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package sympy could not be found by pyimport. Usually this means
that you did not install sympy in the Python version being used by PyCall.
PyCall is currently configured to use the Python version at:
/usr/bin/python3
and you should use whatever mechanism you usually use (apt-get, pip, conda,
etcetera) to install the Python package containing the sympy module.
One alternative is to re-configure PyCall to use a different Python
version on your system: set ENV["PYTHON"] to the path/name of the python
executable you want to use, run Pkg.build("PyCall"), and re-launch Julia.
Another alternative is to configure PyCall to use a Julia-specific Python
distribution via the Conda.jl package (which installs a private Anaconda
Python distribution), which has the advantage that packages can be installed
and kept up-to-date via Julia. As explained in the PyCall documentation,
set ENV["PYTHON"]="", run Pkg.build("PyCall"), and re-launch Julia. Then,
To install the sympy module, you can use `pyimport_conda("sympy", PKG)`,
where PKG is the Anaconda package the contains the module sympy,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'sympy'",)
Stacktrace:
[1] pyimport(::String) at /home/pkgeval/.julia/packages/PyCall/zqDXB/src/PyCall.jl:536
[2] pyimport_conda(::String, ::String, ::String) at /home/pkgeval/.julia/packages/PyCall/zqDXB/src/PyCall.jl:694
[3] pyimport_conda at /home/pkgeval/.julia/packages/PyCall/zqDXB/src/PyCall.jl:693 [inlined]
[4] __init__() at /home/pkgeval/.julia/packages/SymPy/8X01M/src/SymPy.jl:116
[5] _include_from_serialized(::String, ::Array{Any,1}) at ./loading.jl:697
[6] _require_from_serialized(::String) at ./loading.jl:749
[7] _require(::Base.PkgId) at ./loading.jl:1040
[8] require(::Base.PkgId) at ./loading.jl:928
[9] require(::Module, ::Symbol) at ./loading.jl:923
[10] include(::Module, ::String) at ./Base.jl:369
[11] top-level scope at none:2
[12] eval at ./boot.jl:331 [inlined]
[13] eval(::Expr) at ./client.jl:446
[14] top-level scope at ./none:3
during initialization of module SymPy
in expression starting at /home/pkgeval/.julia/packages/Wynn/33KHp/src/Wynn.jl:1
ERROR: LoadError: Failed to precompile Wynn [fbb19de7-1342-5f93-8193-71ff412e753d] to /home/pkgeval/.julia/compiled/v1.6/Wynn/iwi39_44efl.ji.
Stacktrace:
[1] error(::String) at ./error.jl:33
[2] compilecache(::Base.PkgId, ::String) at ./loading.jl:1328
[3] _require(::Base.PkgId) at ./loading.jl:1030
[4] require(::Base.PkgId) at ./loading.jl:928
[5] require(::Module, ::Symbol) at ./loading.jl:923
[6] include(::String) at ./client.jl:444
[7] top-level scope at none:6
in expression starting at /home/pkgeval/.julia/packages/Wynn/33KHp/test/runtests.jl:1
ERROR: Package Wynn errored during testing
Stacktrace:
[1] pkgerror(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/Types.jl:52
[2] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/Operations.jl:1561
[3] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:327
[4] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:314
[5] #test#61 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:67 [inlined]
[6] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:67 [inlined]
[7] #test#60 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66 [inlined]
[8] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66 [inlined]
[9] test(::String; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:65
[10] test(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:65
[11] top-level scope at none:16