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1.5.0-DEV-6a9a92683d.log
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Julia Version 1.5.0-DEV.299
Commit 6a9a92683d (2020-02-20 07:47 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 VersionParsing ───── v1.2.0
Installed Parsers ──────────── v0.3.11
Installed Gym ──────────────── v1.1.3
Installed OrderedCollections ─ v1.1.0
Installed Conda ────────────── v1.4.1
Installed DataStructures ───── v0.17.9
Installed PyCall ───────────── v1.91.3
Installed JSON ─────────────── v0.21.0
Installed MacroTools ───────── v0.5.4
Updating `~/.julia/environments/v1.5/Project.toml`
[b0807396] + Gym v1.1.3
Updating `~/.julia/environments/v1.5/Manifest.toml`
[8f4d0f93] + Conda v1.4.1
[864edb3b] + DataStructures v0.17.9
[b0807396] + Gym v1.1.3
[682c06a0] + JSON v0.21.0
[1914dd2f] + MacroTools v0.5.4
[bac558e1] + OrderedCollections v1.1.0
[69de0a69] + Parsers v0.3.11
[438e738f] + PyCall v1.91.3
[81def892] + VersionParsing v1.2.0
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8ba89e20] + Distributed
[b77e0a4c] + InteractiveUtils
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[de0858da] + Printf
[9a3f8284] + Random
[9e88b42a] + Serialization
[6462fe0b] + Sockets
[8dfed614] + Test
[4ec0a83e] + Unicode
Building Conda ─→ `~/.julia/packages/Conda/3rPhK/deps/build.log`
Building PyCall → `~/.julia/packages/PyCall/kAhnQ/deps/build.log`
Building Gym ───→ `~/.julia/packages/Gym/QZ2GY/deps/build.log`
┌ Error: Error building `Gym`:
│ Cloning into 'gym'...
│ ┌ Warning: Parsing command "pip install --user -e .[$env]". Special characters "#{}()[]<>|&*?~;" should now be quoted in commands
│ │ caller = shell_parse(::String, ::Bool; special::String) at shell.jl:107
│ └ @ Base ./shell.jl:107
│ [ Info: Downloading OpenAi gym
│ [ Info: Installing OpenAi gym
│ ERROR: LoadError: IOError: could not spawn `pip install --user -e .`: no such file or directory (ENOENT)
│ Stacktrace:
│ [1] _spawn_primitive(::String, ::Cmd, ::Array{Any,1}) at ./process.jl:99
│ [2] #555 at ./process.jl:112 [inlined]
│ [3] setup_stdios(::Base.var"#555#556"{Cmd}, ::Array{Any,1}) at ./process.jl:196
│ [4] _spawn at ./process.jl:111 [inlined]
│ [5] run(::Cmd; wait::Bool) at ./process.jl:439
│ [6] run at ./process.jl:438 [inlined]
│ [7] install_envs() at /home/pkgeval/.julia/packages/Gym/QZ2GY/deps/build.jl:10
│ [8] top-level scope at /home/pkgeval/.julia/packages/Gym/QZ2GY/deps/build.jl:46
│ [9] include(::String) at ./client.jl:441
│ [10] top-level scope at none:5
│ in expression starting at /home/pkgeval/.julia/packages/Gym/QZ2GY/deps/build.jl:31
│ caused by [exception 1]
│ PyError (PyImport_ImportModule
│
│ The Python package gym could not be found by pyimport. Usually this means
│ that you did not install gym 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 gym 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 gym module, you can use `pyimport_conda("gym", PKG)`,
│ where PKG is the Anaconda package the contains the module gym,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'gym'",)
│
│ Stacktrace:
│ [1] pyimport(::String) at /home/pkgeval/.julia/packages/PyCall/kAhnQ/src/PyCall.jl:536
│ [2] top-level scope at /home/pkgeval/.julia/packages/Gym/QZ2GY/deps/build.jl:33
│ [3] include(::String) at ./client.jl:441
│ [4] top-level scope at none:5
└ @ Pkg.Operations /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/Operations.jl:892
Testing Gym
Status `/tmp/jl_hHVxgJ/Manifest.toml`
[8f4d0f93] Conda v1.4.1
[864edb3b] DataStructures v0.17.9
[b0807396] Gym v1.1.3
[682c06a0] JSON v0.21.0
[1914dd2f] MacroTools v0.5.4
[bac558e1] OrderedCollections v1.1.0
[69de0a69] Parsers v0.3.11
[438e738f] PyCall v1.91.3
[81def892] VersionParsing v1.2.0
[2a0f44e3] Base64
[ade2ca70] Dates
[8ba89e20] Distributed
[b77e0a4c] InteractiveUtils
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[de0858da] Printf
[9a3f8284] Random
[9e88b42a] Serialization
[6462fe0b] Sockets
[8dfed614] Test
[4ec0a83e] Unicode
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package gym could not be found by pyimport. Usually this means
that you did not install gym 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 gym 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 gym module, you can use `pyimport_conda("gym", PKG)`,
where PKG is the Anaconda package the contains the module gym,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'gym'",)
Stacktrace:
[1] pyimport(::String) at /home/pkgeval/.julia/packages/PyCall/kAhnQ/src/PyCall.jl:536
[2] __init__() at /home/pkgeval/.julia/packages/Gym/QZ2GY/src/Gym.jl:10
[3] _include_from_serialized(::String, ::Array{Any,1}) at ./loading.jl:697
[4] _require_from_serialized(::String) at ./loading.jl:748
[5] _require(::Base.PkgId) at ./loading.jl:1039
[6] require(::Base.PkgId) at ./loading.jl:927
[7] require(::Module, ::Symbol) at ./loading.jl:922
[8] include(::String) at ./client.jl:441
[9] top-level scope at none:6
during initialization of module Gym
in expression starting at /home/pkgeval/.julia/packages/Gym/QZ2GY/test/runtests.jl:1
ERROR: Package Gym errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/Types.jl:53
[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/v1.5/Pkg/src/Operations.jl:1503
[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/v1.5/Pkg/src/API.jl:316
[4] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:303
[5] #test#68 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:297 [inlined]
[6] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:297 [inlined]
[7] #test#67 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:296 [inlined]
[8] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:296 [inlined]
[9] test(::String; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:295
[10] test(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:295
[11] top-level scope at none:13