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1.6.0-DEV-f05b821fe7.log
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Julia Version 1.6.0-DEV.1218
Commit f05b821fe7 (2020-10-14 11:56 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: AMD EPYC 7502 32-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-11.0.0 (ORCJIT, znver2)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
JULIA_MAX_NUM_PRECOMPILE_FILES = 9223372036854775807
Resolving package versions...
Installed VersionParsing ─ v1.2.0
Installed Pio3d ────────── v0.0.2
Installed Conda ────────── v1.4.1
Installed Parsers ──────── v1.0.11
Installed MacroTools ───── v0.5.5
Installed PyCall ───────── v1.92.1
Installed JSON ─────────── v0.21.1
Updating `~/.julia/environments/v1.6/Project.toml`
[276a7f50] + Pio3d v0.0.2
Updating `~/.julia/environments/v1.6/Manifest.toml`
[8f4d0f93] + Conda v1.4.1
[682c06a0] + JSON v0.21.1
[1914dd2f] + MacroTools v0.5.5
[69de0a69] + Parsers v1.0.11
[276a7f50] + Pio3d v0.0.2
[438e738f] + PyCall v1.92.1
[81def892] + VersionParsing v1.2.0
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[d6f4376e] + Markdown
[a63ad114] + Mmap
[de0858da] + Printf
[9a3f8284] + Random
[9e88b42a] + Serialization
[4ec0a83e] + Unicode
Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/7a58bb32ce5d85f8bf7559aa7c2842f9aecf52fc/build.log`
Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b6dff5fa725eff4f775f472acd86756d6e31fb02/build.log`
Precompiling project... (tip: to disable auto-precompilation set ENV["JULIA_PKG_PRECOMPILE_AUTO"]=0)
[90m[32m ✓ [39mMacroTools[39m
[90m[32m ✓ [39mPyCall[39m
[32m ✓ [39mPio3d
3 dependencies successfully precompiled (4 already precompiled)
Testing Pio3d
Status `/tmp/jl_Hy6xv0/Project.toml`
[276a7f50] Pio3d v0.0.2
[438e738f] PyCall v1.92.1
[8dfed614] Test
Status `/tmp/jl_Hy6xv0/Manifest.toml`
[8f4d0f93] Conda v1.4.1
[682c06a0] JSON v0.21.1
[1914dd2f] MacroTools v0.5.5
[69de0a69] Parsers v1.0.11
[276a7f50] Pio3d v0.0.2
[438e738f] PyCall v1.92.1
[81def892] VersionParsing v1.2.0
[2a0f44e3] Base64
[ade2ca70] Dates
[b77e0a4c] InteractiveUtils
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[de0858da] Printf
[9a3f8284] Random
[9e88b42a] Serialization
[8dfed614] Test
[4ec0a83e] Unicode
Testing Running tests...
Pio3d.jl: Error During Test at /home/pkgeval/.julia/packages/Pio3d/qsitX/test/runtests.jl:6
Test threw exception
Expression: "nrn4" in Pio3d.get_labels()
PyError (PyImport_ImportModule
The Python package io3d.datasets could not be imported by pyimport. Usually this means
that you did not install io3d.datasets 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 io3d.datasets module, you can
use `pyimport_conda("io3d.datasets", PKG)`, where PKG is the Anaconda
package the contains the module io3d.datasets, 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.
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'io3d'")
Stacktrace:
[1] pyimport(name::String)
@ PyCall ~/.julia/packages/PyCall/BcTLp/src/PyCall.jl:547
[2] get_labels()
@ Pio3d ~/.julia/packages/Pio3d/qsitX/src/Pio3d.jl:52
[3] top-level scope
@ ~/.julia/packages/Pio3d/qsitX/test/runtests.jl:6
[4] top-level scope
@ /workspace/srcdir/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1144
[5] top-level scope
@ ~/.julia/packages/Pio3d/qsitX/test/runtests.jl:6
Pio3d.jl: Error During Test at /home/pkgeval/.julia/packages/Pio3d/qsitX/test/runtests.jl:4
Got exception outside of a @test
PyError (PyImport_ImportModule
The Python package io3d.datasets could not be imported by pyimport. Usually this means
that you did not install io3d.datasets 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 io3d.datasets module, you can
use `pyimport_conda("io3d.datasets", PKG)`, where PKG is the Anaconda
package the contains the module io3d.datasets, 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.
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'io3d'")
Stacktrace:
[1] pyimport(name::String)
@ PyCall ~/.julia/packages/PyCall/BcTLp/src/PyCall.jl:547
[2] datasets_download(label::String)
@ Pio3d ~/.julia/packages/Pio3d/qsitX/src/Pio3d.jl:33
[3] top-level scope
@ ~/.julia/packages/Pio3d/qsitX/test/runtests.jl:7
[4] top-level scope
@ /workspace/srcdir/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1144
[5] top-level scope
@ ~/.julia/packages/Pio3d/qsitX/test/runtests.jl:6
[6] include(fname::String)
@ Base.MainInclude ./client.jl:444
[7] top-level scope
@ none:6
[8] eval(m::Module, e::Any)
@ Core ./boot.jl:360
[9] exec_options(opts::Base.JLOptions)
@ Base ./client.jl:261
[10] _start()
@ Base ./client.jl:485
Test Summary: | Error Total
Pio3d.jl | 2 2
ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 2 errored, 0 broken.
in expression starting at /home/pkgeval/.julia/packages/Pio3d/qsitX/test/runtests.jl:4
ERROR: Package Pio3d errored during testing
Stacktrace:
[1] pkgerror(msg::String)
@ Pkg.Types /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/Types.jl:52
[2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing)
@ Pkg.Operations /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/Operations.jl:1632
[3] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ Pkg.API /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:333
[4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec})
@ Pkg.API /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:320
[5] #test#62
@ /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:70 [inlined]
[6] test
@ /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:69 [inlined]
[7] #test#61
@ /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:67 [inlined]
[8] test
@ /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:67 [inlined]
[9] test(pkg::String; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ Pkg.API /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66
[10] test(pkg::String)
@ Pkg.API /workspace/srcdir/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66
[11] top-level scope
@ none:31