If you think that there is an error in how your package is being tested or represented, please file an issue at NewPkgEval.jl , making sure to read the FAQ first.
Results with Julia v1.2.0
Testing was unsuccessful : testing failed for unknown reasons.
Last evaluation was ago and took 2 minutes, 31 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed Reexport ───────────── v0.2.0
Installed URIParser ──────────── v0.4.0
Installed Conda ──────────────── v1.3.0
Installed AbstractFFTs ───────── v0.4.1
Installed PyCall ─────────────── v1.91.2
Installed BinaryProvider ─────── v0.5.8
Installed GaussianRandomFields ─ v1.1.1
Installed Colors ─────────────── v0.9.6
Installed OrderedCollections ─── v1.1.0
Installed DataStructures ─────── v0.17.6
Installed Parsers ────────────── v0.3.10
Installed FixedPointNumbers ──── v0.6.1
Installed FastGaussQuadrature ── v0.4.1
Installed LaTeXStrings ───────── v1.0.3
Installed JSON ───────────────── v0.21.0
Installed Compat ─────────────── v2.2.0
Installed VersionParsing ─────── v1.1.3
Installed FFTW ───────────────── v0.3.0
Installed PyPlot ─────────────── v2.8.2
Installed MacroTools ─────────── v0.5.2
Installed ColorTypes ─────────── v0.8.0
Installed SpecialFunctions ───── v0.8.0
Installed Arpack ─────────────── v0.3.1
Installed BinDeps ────────────── v0.8.10
Updating `~/.julia/environments/v1.2/Project.toml`
[e4b2fa32] + GaussianRandomFields v1.1.1
Updating `~/.julia/environments/v1.2/Manifest.toml`
[621f4979] + AbstractFFTs v0.4.1
[7d9fca2a] + Arpack v0.3.1
[9e28174c] + BinDeps v0.8.10
[b99e7846] + BinaryProvider v0.5.8
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[864edb3b] + DataStructures v0.17.6
[7a1cc6ca] + FFTW v0.3.0
[442a2c76] + FastGaussQuadrature v0.4.1
[53c48c17] + FixedPointNumbers v0.6.1
[e4b2fa32] + GaussianRandomFields v1.1.1
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[1914dd2f] + MacroTools v0.5.2
[bac558e1] + OrderedCollections v1.1.0
[69de0a69] + Parsers v0.3.10
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[189a3867] + Reexport v0.2.0
[276daf66] + SpecialFunctions v0.8.0
[30578b45] + URIParser v0.4.0
[81def892] + VersionParsing v1.1.3
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[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
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Conda ───────────→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Building PyCall ──────────→ `~/.julia/packages/PyCall/ttONZ/deps/build.log`
Building FFTW ────────────→ `~/.julia/packages/FFTW/2okGQ/deps/build.log`
Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
Testing GaussianRandomFields
Resolving package versions...
Installed Suppressor ─ v0.1.1
Status `/tmp/jl_9GJPu1/Manifest.toml`
[621f4979] AbstractFFTs v0.4.1
[7d9fca2a] Arpack v0.3.1
[9e28174c] BinDeps v0.8.10
[b99e7846] BinaryProvider v0.5.8
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[864edb3b] DataStructures v0.17.6
[7a1cc6ca] FFTW v0.3.0
[442a2c76] FastGaussQuadrature v0.4.1
[53c48c17] FixedPointNumbers v0.6.1
[e4b2fa32] GaussianRandomFields v1.1.1
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[1914dd2f] MacroTools v0.5.2
[bac558e1] OrderedCollections v1.1.0
[69de0a69] Parsers v0.3.10
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[189a3867] Reexport v0.2.0
[276daf66] SpecialFunctions v0.8.0
[fd094767] Suppressor v0.1.1
[30578b45] URIParser v0.4.0
[81def892] VersionParsing v1.1.3
[2a0f44e3] Base64 [`@stdlib/Base64`]
[ade2ca70] Dates [`@stdlib/Dates`]
[8bb1440f] DelimitedFiles [`@stdlib/DelimitedFiles`]
[8ba89e20] Distributed [`@stdlib/Distributed`]
[b77e0a4c] InteractiveUtils [`@stdlib/InteractiveUtils`]
[76f85450] LibGit2 [`@stdlib/LibGit2`]
[8f399da3] Libdl [`@stdlib/Libdl`]
[37e2e46d] LinearAlgebra [`@stdlib/LinearAlgebra`]
[56ddb016] Logging [`@stdlib/Logging`]
[d6f4376e] Markdown [`@stdlib/Markdown`]
[a63ad114] Mmap [`@stdlib/Mmap`]
[44cfe95a] Pkg [`@stdlib/Pkg`]
[de0858da] Printf [`@stdlib/Printf`]
[3fa0cd96] REPL [`@stdlib/REPL`]
[9a3f8284] Random [`@stdlib/Random`]
[ea8e919c] SHA [`@stdlib/SHA`]
[9e88b42a] Serialization [`@stdlib/Serialization`]
[1a1011a3] SharedArrays [`@stdlib/SharedArrays`]
[6462fe0b] Sockets [`@stdlib/Sockets`]
[2f01184e] SparseArrays [`@stdlib/SparseArrays`]
[10745b16] Statistics [`@stdlib/Statistics`]
[8dfed614] Test [`@stdlib/Test`]
[cf7118a7] UUIDs [`@stdlib/UUIDs`]
[4ec0a83e] Unicode [`@stdlib/Unicode`]
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package matplotlib could not be found by pyimport. Usually this means
that you did not install matplotlib 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 matplotlib 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 matplotlib module, you can use `pyimport_conda("matplotlib", PKG)`,
where PKG is the Anaconda package the contains the module matplotlib,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'matplotlib'",)
Stacktrace:
[1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
[2] pyimport_conda(::String, ::String, ::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:702
[3] pyimport_conda at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:701 [inlined]
[4] __init__() at /root/.julia/packages/PyPlot/4wzW1/src/init.jl:179
[5] _include_from_serialized(::String, ::Array{Any,1}) at ./loading.jl:685
[6] _require_from_serialized(::String) at ./loading.jl:736
[7] _require(::Base.PkgId) at ./loading.jl:1023
[8] require(::Base.PkgId) at ./loading.jl:911
[9] require(::Module, ::Symbol) at ./loading.jl:906
[10] include at ./boot.jl:328 [inlined]
[11] include_relative(::Module, ::String) at ./loading.jl:1094
[12] include(::Module, ::String) at ./Base.jl:31
[13] top-level scope at none:2
[14] eval at ./boot.jl:330 [inlined]
[15] eval(::Expr) at ./client.jl:432
[16] top-level scope at ./none:3
during initialization of module PyPlot
in expression starting at /root/.julia/packages/GaussianRandomFields/Xgwti/src/GaussianRandomFields.jl:4
ERROR: LoadError: Failed to precompile GaussianRandomFields [e4b2fa32-6e09-5554-b718-106ed5adafe9] to /root/.julia/compiled/v1.2/GaussianRandomFields/eCWcf.ji.
Stacktrace:
[1] error(::String) at ./error.jl:33
[2] compilecache(::Base.PkgId, ::String) at ./loading.jl:1253
[3] _require(::Base.PkgId) at ./loading.jl:1013
[4] require(::Base.PkgId) at ./loading.jl:911
[5] require(::Module, ::Symbol) at ./loading.jl:906
[6] include at ./boot.jl:328 [inlined]
[7] include_relative(::Module, ::String) at ./loading.jl:1094
[8] include(::Module, ::String) at ./Base.jl:31
[9] include(::String) at ./client.jl:431
[10] top-level scope at none:5
in expression starting at /root/.julia/packages/GaussianRandomFields/Xgwti/test/runtests.jl:3
ERROR: Package GaussianRandomFields errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/Types.jl:112
[2] #test#119(::Bool, ::Nothing, ::typeof(Pkg.Operations.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/Operations.jl:1288
[3] #test at ./none:0 [inlined]
[4] #test#62(::Bool, ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:245
[5] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:233 [inlined]
[6] #test#61 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:230 [inlined]
[7] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:230 [inlined]
[8] #test#60 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:229 [inlined]
[9] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:229 [inlined]
[10] #test#59(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:228
[11] test(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:228
[12] top-level scope at none:10
Results with Julia v1.3.0
Testing was unsuccessful : testing failed for unknown reasons.
Last evaluation was ago and took 2 minutes, 48 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed FastGaussQuadrature ── v0.4.1
Installed Compat ─────────────── v2.2.0
Installed Parsers ────────────── v0.3.10
Installed Arpack ─────────────── v0.3.1
Installed FFTW ───────────────── v0.3.0
Installed DataStructures ─────── v0.17.6
Installed GaussianRandomFields ─ v1.1.1
Installed BinaryProvider ─────── v0.5.8
Installed OrderedCollections ─── v1.1.0
Installed MacroTools ─────────── v0.5.2
Installed SpecialFunctions ───── v0.9.0
Installed PyCall ─────────────── v1.91.2
Installed JSON ───────────────── v0.21.0
Installed PyPlot ─────────────── v2.8.2
Installed FixedPointNumbers ──── v0.6.1
Installed ColorTypes ─────────── v0.8.0
Installed VersionParsing ─────── v1.1.3
Installed OpenSpecFun_jll ────── v0.5.3+1
Installed Conda ──────────────── v1.3.0
Installed AbstractFFTs ───────── v0.4.1
Installed Reexport ───────────── v0.2.0
Installed Colors ─────────────── v0.9.6
Installed LaTeXStrings ───────── v1.0.3
Updating `~/.julia/environments/v1.3/Project.toml`
[e4b2fa32] + GaussianRandomFields v1.1.1
Updating `~/.julia/environments/v1.3/Manifest.toml`
[621f4979] + AbstractFFTs v0.4.1
[7d9fca2a] + Arpack v0.3.1
[b99e7846] + BinaryProvider v0.5.8
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[864edb3b] + DataStructures v0.17.6
[7a1cc6ca] + FFTW v0.3.0
[442a2c76] + FastGaussQuadrature v0.4.1
[53c48c17] + FixedPointNumbers v0.6.1
[e4b2fa32] + GaussianRandomFields v1.1.1
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[1914dd2f] + MacroTools v0.5.2
[efe28fd5] + OpenSpecFun_jll v0.5.3+1
[bac558e1] + OrderedCollections v1.1.0
[69de0a69] + Parsers v0.3.10
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[189a3867] + Reexport v0.2.0
[276daf66] + SpecialFunctions v0.9.0
[81def892] + VersionParsing v1.1.3
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[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
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Arpack → `~/.julia/packages/Arpack/cu5By/deps/build.log`
Building Conda ─→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Building FFTW ──→ `~/.julia/packages/FFTW/2okGQ/deps/build.log`
Building PyCall → `~/.julia/packages/PyCall/ttONZ/deps/build.log`
Testing GaussianRandomFields
Resolving package versions...
Installed Suppressor ─ v0.1.1
Status `/tmp/jl_lB8UPd/Manifest.toml`
[621f4979] AbstractFFTs v0.4.1
[7d9fca2a] Arpack v0.3.1
[b99e7846] BinaryProvider v0.5.8
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[864edb3b] DataStructures v0.17.6
[7a1cc6ca] FFTW v0.3.0
[442a2c76] FastGaussQuadrature v0.4.1
[53c48c17] FixedPointNumbers v0.6.1
[e4b2fa32] GaussianRandomFields v1.1.1
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[1914dd2f] MacroTools v0.5.2
[efe28fd5] OpenSpecFun_jll v0.5.3+1
[bac558e1] OrderedCollections v1.1.0
[69de0a69] Parsers v0.3.10
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[189a3867] Reexport v0.2.0
[276daf66] SpecialFunctions v0.9.0
[fd094767] Suppressor v0.1.1
[81def892] VersionParsing v1.1.3
[2a0f44e3] Base64 [`@stdlib/Base64`]
[ade2ca70] Dates [`@stdlib/Dates`]
[8bb1440f] DelimitedFiles [`@stdlib/DelimitedFiles`]
[8ba89e20] Distributed [`@stdlib/Distributed`]
[b77e0a4c] InteractiveUtils [`@stdlib/InteractiveUtils`]
[76f85450] LibGit2 [`@stdlib/LibGit2`]
[8f399da3] Libdl [`@stdlib/Libdl`]
[37e2e46d] LinearAlgebra [`@stdlib/LinearAlgebra`]
[56ddb016] Logging [`@stdlib/Logging`]
[d6f4376e] Markdown [`@stdlib/Markdown`]
[a63ad114] Mmap [`@stdlib/Mmap`]
[44cfe95a] Pkg [`@stdlib/Pkg`]
[de0858da] Printf [`@stdlib/Printf`]
[3fa0cd96] REPL [`@stdlib/REPL`]
[9a3f8284] Random [`@stdlib/Random`]
[ea8e919c] SHA [`@stdlib/SHA`]
[9e88b42a] Serialization [`@stdlib/Serialization`]
[1a1011a3] SharedArrays [`@stdlib/SharedArrays`]
[6462fe0b] Sockets [`@stdlib/Sockets`]
[2f01184e] SparseArrays [`@stdlib/SparseArrays`]
[10745b16] Statistics [`@stdlib/Statistics`]
[8dfed614] Test [`@stdlib/Test`]
[cf7118a7] UUIDs [`@stdlib/UUIDs`]
[4ec0a83e] Unicode [`@stdlib/Unicode`]
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package matplotlib could not be found by pyimport. Usually this means
that you did not install matplotlib 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 matplotlib 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 matplotlib module, you can use `pyimport_conda("matplotlib", PKG)`,
where PKG is the Anaconda package the contains the module matplotlib,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'matplotlib'",)
Stacktrace:
[1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
[2] pyimport_conda(::String, ::String, ::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:702
[3] pyimport_conda at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:701 [inlined]
[4] __init__() at /root/.julia/packages/PyPlot/4wzW1/src/init.jl:179
[5] _include_from_serialized(::String, ::Array{Any,1}) at ./loading.jl:692
[6] _require_from_serialized(::String) at ./loading.jl:743
[7] _require(::Base.PkgId) at ./loading.jl:1034
[8] require(::Base.PkgId) at ./loading.jl:922
[9] require(::Module, ::Symbol) at ./loading.jl:917
[10] include at ./boot.jl:328 [inlined]
[11] include_relative(::Module, ::String) at ./loading.jl:1105
[12] include(::Module, ::String) at ./Base.jl:31
[13] top-level scope at none:2
[14] eval at ./boot.jl:330 [inlined]
[15] eval(::Expr) at ./client.jl:425
[16] top-level scope at ./none:3
during initialization of module PyPlot
in expression starting at /root/.julia/packages/GaussianRandomFields/Xgwti/src/GaussianRandomFields.jl:4
ERROR: LoadError: Failed to precompile GaussianRandomFields [e4b2fa32-6e09-5554-b718-106ed5adafe9] to /root/.julia/compiled/v1.3/GaussianRandomFields/eCWcf_Pq4Aj.ji.
Stacktrace:
[1] error(::String) at ./error.jl:33
[2] compilecache(::Base.PkgId, ::String) at ./loading.jl:1283
[3] _require(::Base.PkgId) at ./loading.jl:1024
[4] require(::Base.PkgId) at ./loading.jl:922
[5] require(::Module, ::Symbol) at ./loading.jl:917
[6] include at ./boot.jl:328 [inlined]
[7] include_relative(::Module, ::String) at ./loading.jl:1105
[8] include(::Module, ::String) at ./Base.jl:31
[9] include(::String) at ./client.jl:424
[10] top-level scope at none:6
in expression starting at /root/.julia/packages/GaussianRandomFields/Xgwti/test/runtests.jl:3
ERROR: Package GaussianRandomFields errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/Types.jl:113
[2] #test#131(::Bool, ::Nothing, ::Cmd, ::Cmd, ::typeof(Pkg.Operations.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/Operations.jl:1370
[3] #test at ./none:0 [inlined]
[4] #test#62(::Bool, ::Nothing, ::Cmd, ::Cmd, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:253
[5] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:239
[6] #test#61 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:233 [inlined]
[7] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:233 [inlined]
[8] #test#60 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:232 [inlined]
[9] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:232 [inlined]
[10] #test#59(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:231
[11] test(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:231
[12] top-level scope at none:10
Results with Julia v1.3.1-pre-7704df0a5a
Testing was unsuccessful : testing failed for unknown reasons.
Last evaluation was ago and took 2 minutes, 37 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed FastGaussQuadrature ── v0.4.1
Installed OpenSpecFun_jll ────── v0.5.3+1
Installed Conda ──────────────── v1.3.0
Installed ColorTypes ─────────── v0.8.0
Installed PyCall ─────────────── v1.91.2
Installed DataStructures ─────── v0.17.6
Installed GaussianRandomFields ─ v1.1.1
Installed Colors ─────────────── v0.9.6
Installed Compat ─────────────── v2.2.0
Installed LaTeXStrings ───────── v1.0.3
Installed BinaryProvider ─────── v0.5.8
Installed FixedPointNumbers ──── v0.6.1
Installed Arpack ─────────────── v0.3.1
Installed MacroTools ─────────── v0.5.2
Installed FFTW ───────────────── v0.3.0
Installed SpecialFunctions ───── v0.9.0
Installed PyPlot ─────────────── v2.8.2
Installed VersionParsing ─────── v1.1.3
Installed Reexport ───────────── v0.2.0
Installed Parsers ────────────── v0.3.10
Installed OrderedCollections ─── v1.1.0
Installed AbstractFFTs ───────── v0.4.1
Installed JSON ───────────────── v0.21.0
Updating `~/.julia/environments/v1.3/Project.toml`
[e4b2fa32] + GaussianRandomFields v1.1.1
Updating `~/.julia/environments/v1.3/Manifest.toml`
[621f4979] + AbstractFFTs v0.4.1
[7d9fca2a] + Arpack v0.3.1
[b99e7846] + BinaryProvider v0.5.8
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[864edb3b] + DataStructures v0.17.6
[7a1cc6ca] + FFTW v0.3.0
[442a2c76] + FastGaussQuadrature v0.4.1
[53c48c17] + FixedPointNumbers v0.6.1
[e4b2fa32] + GaussianRandomFields v1.1.1
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[1914dd2f] + MacroTools v0.5.2
[efe28fd5] + OpenSpecFun_jll v0.5.3+1
[bac558e1] + OrderedCollections v1.1.0
[69de0a69] + Parsers v0.3.10
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[189a3867] + Reexport v0.2.0
[276daf66] + SpecialFunctions v0.9.0
[81def892] + VersionParsing v1.1.3
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[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
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Conda ─→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Building PyCall → `~/.julia/packages/PyCall/ttONZ/deps/build.log`
Building Arpack → `~/.julia/packages/Arpack/cu5By/deps/build.log`
Building FFTW ──→ `~/.julia/packages/FFTW/2okGQ/deps/build.log`
Testing GaussianRandomFields
Resolving package versions...
Installed Suppressor ─ v0.1.1
Status `/tmp/jl_rOIWTS/Manifest.toml`
[621f4979] AbstractFFTs v0.4.1
[7d9fca2a] Arpack v0.3.1
[b99e7846] BinaryProvider v0.5.8
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[864edb3b] DataStructures v0.17.6
[7a1cc6ca] FFTW v0.3.0
[442a2c76] FastGaussQuadrature v0.4.1
[53c48c17] FixedPointNumbers v0.6.1
[e4b2fa32] GaussianRandomFields v1.1.1
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[1914dd2f] MacroTools v0.5.2
[efe28fd5] OpenSpecFun_jll v0.5.3+1
[bac558e1] OrderedCollections v1.1.0
[69de0a69] Parsers v0.3.10
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[189a3867] Reexport v0.2.0
[276daf66] SpecialFunctions v0.9.0
[fd094767] Suppressor v0.1.1
[81def892] VersionParsing v1.1.3
[2a0f44e3] Base64 [`@stdlib/Base64`]
[ade2ca70] Dates [`@stdlib/Dates`]
[8bb1440f] DelimitedFiles [`@stdlib/DelimitedFiles`]
[8ba89e20] Distributed [`@stdlib/Distributed`]
[b77e0a4c] InteractiveUtils [`@stdlib/InteractiveUtils`]
[76f85450] LibGit2 [`@stdlib/LibGit2`]
[8f399da3] Libdl [`@stdlib/Libdl`]
[37e2e46d] LinearAlgebra [`@stdlib/LinearAlgebra`]
[56ddb016] Logging [`@stdlib/Logging`]
[d6f4376e] Markdown [`@stdlib/Markdown`]
[a63ad114] Mmap [`@stdlib/Mmap`]
[44cfe95a] Pkg [`@stdlib/Pkg`]
[de0858da] Printf [`@stdlib/Printf`]
[3fa0cd96] REPL [`@stdlib/REPL`]
[9a3f8284] Random [`@stdlib/Random`]
[ea8e919c] SHA [`@stdlib/SHA`]
[9e88b42a] Serialization [`@stdlib/Serialization`]
[1a1011a3] SharedArrays [`@stdlib/SharedArrays`]
[6462fe0b] Sockets [`@stdlib/Sockets`]
[2f01184e] SparseArrays [`@stdlib/SparseArrays`]
[10745b16] Statistics [`@stdlib/Statistics`]
[8dfed614] Test [`@stdlib/Test`]
[cf7118a7] UUIDs [`@stdlib/UUIDs`]
[4ec0a83e] Unicode [`@stdlib/Unicode`]
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package matplotlib could not be found by pyimport. Usually this means
that you did not install matplotlib 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 matplotlib 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 matplotlib module, you can use `pyimport_conda("matplotlib", PKG)`,
where PKG is the Anaconda package the contains the module matplotlib,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'matplotlib'",)
Stacktrace:
[1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
[2] pyimport_conda(::String, ::String, ::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:702
[3] pyimport_conda at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:701 [inlined]
[4] __init__() at /root/.julia/packages/PyPlot/4wzW1/src/init.jl:179
[5] _include_from_serialized(::String, ::Array{Any,1}) at ./loading.jl:692
[6] _require_from_serialized(::String) at ./loading.jl:743
[7] _require(::Base.PkgId) at ./loading.jl:1034
[8] require(::Base.PkgId) at ./loading.jl:922
[9] require(::Module, ::Symbol) at ./loading.jl:917
[10] include at ./boot.jl:328 [inlined]
[11] include_relative(::Module, ::String) at ./loading.jl:1105
[12] include(::Module, ::String) at ./Base.jl:31
[13] top-level scope at none:2
[14] eval at ./boot.jl:330 [inlined]
[15] eval(::Expr) at ./client.jl:425
[16] top-level scope at ./none:3
during initialization of module PyPlot
in expression starting at /root/.julia/packages/GaussianRandomFields/Xgwti/src/GaussianRandomFields.jl:4
ERROR: LoadError: Failed to precompile GaussianRandomFields [e4b2fa32-6e09-5554-b718-106ed5adafe9] to /root/.julia/compiled/v1.3/GaussianRandomFields/eCWcf_TpWXT.ji.
Stacktrace:
[1] error(::String) at ./error.jl:33
[2] compilecache(::Base.PkgId, ::String) at ./loading.jl:1283
[3] _require(::Base.PkgId) at ./loading.jl:1024
[4] require(::Base.PkgId) at ./loading.jl:922
[5] require(::Module, ::Symbol) at ./loading.jl:917
[6] include at ./boot.jl:328 [inlined]
[7] include_relative(::Module, ::String) at ./loading.jl:1105
[8] include(::Module, ::String) at ./Base.jl:31
[9] include(::String) at ./client.jl:424
[10] top-level scope at none:6
in expression starting at /root/.julia/packages/GaussianRandomFields/Xgwti/test/runtests.jl:3
ERROR: Package GaussianRandomFields errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Types.jl:113
[2] #test#131(::Bool, ::Nothing, ::Cmd, ::Cmd, ::typeof(Pkg.Operations.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Operations.jl:1370
[3] #test at ./none:0 [inlined]
[4] #test#62(::Bool, ::Nothing, ::Cmd, ::Cmd, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:253
[5] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:239
[6] #test#61 at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:233 [inlined]
[7] test at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:233 [inlined]
[8] #test#60 at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:232 [inlined]
[9] test at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:232 [inlined]
[10] #test#59(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::String) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:231
[11] test(::String) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:231
[12] top-level scope at none:10