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 1 minute, 50 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed Seaborn ───────────────────── v0.4.1
Installed Missings ──────────────────── v0.4.3
Installed DataAPI ───────────────────── v1.1.0
Installed DataValueInterfaces ───────── v1.0.0
Installed Reexport ──────────────────── v0.2.0
Installed Conda ─────────────────────── v1.3.0
Installed TableTraits ───────────────── v1.0.0
Installed Colors ────────────────────── v0.9.6
Installed OrderedCollections ────────── v1.1.0
Installed PyCall ────────────────────── v1.91.2
Installed DataStructures ────────────── v0.17.6
Installed Compat ────────────────────── v2.2.0
Installed Pandas ────────────────────── v1.3.0
Installed FixedPointNumbers ─────────── v0.6.1
Installed TableTraitsUtils ──────────── v1.0.1
Installed Parsers ───────────────────── v0.3.10
Installed LaTeXStrings ──────────────── v1.0.3
Installed VersionParsing ────────────── v1.1.3
Installed JSON ──────────────────────── v0.21.0
Installed IteratorInterfaceExtensions ─ v1.0.0
Installed PyPlot ────────────────────── v2.8.2
Installed Lazy ──────────────────────── v0.14.0
Installed MacroTools ────────────────── v0.5.2
Installed DataValues ────────────────── v0.4.12
Installed ColorTypes ────────────────── v0.8.0
Updating `~/.julia/environments/v1.2/Project.toml`
[d2ef9438] + Seaborn v0.4.1
Updating `~/.julia/environments/v1.2/Manifest.toml`
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.6
[e2d170a0] + DataValueInterfaces v1.0.0
[e7dc6d0d] + DataValues v0.4.12
[53c48c17] + FixedPointNumbers v0.6.1
[82899510] + IteratorInterfaceExtensions v1.0.0
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[50d2b5c4] + Lazy v0.14.0
[1914dd2f] + MacroTools v0.5.2
[e1d29d7a] + Missings v0.4.3
[bac558e1] + OrderedCollections v1.1.0
[eadc2687] + Pandas v1.3.0
[69de0a69] + Parsers v0.3.10
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[189a3867] + Reexport v0.2.0
[d2ef9438] + Seaborn v0.4.1
[3783bdb8] + TableTraits v1.0.0
[382cd787] + TableTraitsUtils v1.0.1
[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`
Testing Seaborn
Status `/tmp/jl_BTxmrH/Manifest.toml`
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[9a962f9c] DataAPI v1.1.0
[864edb3b] DataStructures v0.17.6
[e2d170a0] DataValueInterfaces v1.0.0
[e7dc6d0d] DataValues v0.4.12
[53c48c17] FixedPointNumbers v0.6.1
[82899510] IteratorInterfaceExtensions v1.0.0
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[50d2b5c4] Lazy v0.14.0
[1914dd2f] MacroTools v0.5.2
[e1d29d7a] Missings v0.4.3
[bac558e1] OrderedCollections v1.1.0
[eadc2687] Pandas v1.3.0
[69de0a69] Parsers v0.3.10
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[189a3867] Reexport v0.2.0
[d2ef9438] Seaborn v0.4.1
[3783bdb8] TableTraits v1.0.0
[382cd787] TableTraitsUtils v1.0.1
[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 numpy could not be found by pyimport. Usually this means
that you did not install numpy 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 numpy 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 numpy module, you can use `pyimport_conda("numpy", PKG)`,
where PKG is the Anaconda package the contains the module numpy,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'numpy'",)
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/Pandas/wBpaf/src/Pandas.jl:25
[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 Pandas
in expression starting at /root/.julia/packages/Seaborn/E3HS0/src/Seaborn.jl:41
ERROR: LoadError: Failed to precompile Seaborn [d2ef9438-c967-53ab-8060-373fdd9e13eb] to /root/.julia/compiled/v1.2/Seaborn/AnPQn.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/Seaborn/E3HS0/test/runtests.jl:1
ERROR: Package Seaborn 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 1 minute, 57 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed Seaborn ───────────────────── v0.4.1
Installed Lazy ──────────────────────── v0.14.0
Installed Missings ──────────────────── v0.4.3
Installed Compat ────────────────────── v2.2.0
Installed Parsers ───────────────────── v0.3.10
Installed Pandas ────────────────────── v1.3.0
Installed DataStructures ────────────── v0.17.6
Installed MacroTools ────────────────── v0.5.2
Installed OrderedCollections ────────── v1.1.0
Installed TableTraits ───────────────── v1.0.0
Installed FixedPointNumbers ─────────── v0.6.1
Installed ColorTypes ────────────────── v0.8.0
Installed PyCall ────────────────────── v1.91.2
Installed JSON ──────────────────────── v0.21.0
Installed DataAPI ───────────────────── v1.1.0
Installed TableTraitsUtils ──────────── v1.0.1
Installed DataValueInterfaces ───────── v1.0.0
Installed PyPlot ────────────────────── v2.8.2
Installed LaTeXStrings ──────────────── v1.0.3
Installed DataValues ────────────────── v0.4.12
Installed VersionParsing ────────────── v1.1.3
Installed Conda ─────────────────────── v1.3.0
Installed IteratorInterfaceExtensions ─ v1.0.0
Installed Reexport ──────────────────── v0.2.0
Installed Colors ────────────────────── v0.9.6
Updating `~/.julia/environments/v1.3/Project.toml`
[d2ef9438] + Seaborn v0.4.1
Updating `~/.julia/environments/v1.3/Manifest.toml`
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.6
[e2d170a0] + DataValueInterfaces v1.0.0
[e7dc6d0d] + DataValues v0.4.12
[53c48c17] + FixedPointNumbers v0.6.1
[82899510] + IteratorInterfaceExtensions v1.0.0
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[50d2b5c4] + Lazy v0.14.0
[1914dd2f] + MacroTools v0.5.2
[e1d29d7a] + Missings v0.4.3
[bac558e1] + OrderedCollections v1.1.0
[eadc2687] + Pandas v1.3.0
[69de0a69] + Parsers v0.3.10
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[189a3867] + Reexport v0.2.0
[d2ef9438] + Seaborn v0.4.1
[3783bdb8] + TableTraits v1.0.0
[382cd787] + TableTraitsUtils v1.0.1
[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`
Testing Seaborn
Status `/tmp/jl_u3YZOG/Manifest.toml`
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[9a962f9c] DataAPI v1.1.0
[864edb3b] DataStructures v0.17.6
[e2d170a0] DataValueInterfaces v1.0.0
[e7dc6d0d] DataValues v0.4.12
[53c48c17] FixedPointNumbers v0.6.1
[82899510] IteratorInterfaceExtensions v1.0.0
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[50d2b5c4] Lazy v0.14.0
[1914dd2f] MacroTools v0.5.2
[e1d29d7a] Missings v0.4.3
[bac558e1] OrderedCollections v1.1.0
[eadc2687] Pandas v1.3.0
[69de0a69] Parsers v0.3.10
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[189a3867] Reexport v0.2.0
[d2ef9438] Seaborn v0.4.1
[3783bdb8] TableTraits v1.0.0
[382cd787] TableTraitsUtils v1.0.1
[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 numpy could not be found by pyimport. Usually this means
that you did not install numpy 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 numpy 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 numpy module, you can use `pyimport_conda("numpy", PKG)`,
where PKG is the Anaconda package the contains the module numpy,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'numpy'",)
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/Pandas/wBpaf/src/Pandas.jl:25
[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 Pandas
in expression starting at /root/.julia/packages/Seaborn/E3HS0/src/Seaborn.jl:41
ERROR: LoadError: Failed to precompile Seaborn [d2ef9438-c967-53ab-8060-373fdd9e13eb] to /root/.julia/compiled/v1.3/Seaborn/AnPQn_g0BzP.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/Seaborn/E3HS0/test/runtests.jl:1
ERROR: Package Seaborn 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, 3 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed Seaborn ───────────────────── v0.4.1
Installed Conda ─────────────────────── v1.3.0
Installed ColorTypes ────────────────── v0.8.0
Installed Compat ────────────────────── v2.2.0
Installed PyCall ────────────────────── v1.91.2
Installed DataStructures ────────────── v0.17.6
Installed Colors ────────────────────── v0.9.6
Installed DataValues ────────────────── v0.4.12
Installed MacroTools ────────────────── v0.5.2
Installed LaTeXStrings ──────────────── v1.0.3
Installed TableTraits ───────────────── v1.0.0
Installed Missings ──────────────────── v0.4.3
Installed Lazy ──────────────────────── v0.14.0
Installed FixedPointNumbers ─────────── v0.6.1
Installed Pandas ────────────────────── v1.3.0
Installed TableTraitsUtils ──────────── v1.0.1
Installed Reexport ──────────────────── v0.2.0
Installed IteratorInterfaceExtensions ─ v1.0.0
Installed PyPlot ────────────────────── v2.8.2
Installed DataAPI ───────────────────── v1.1.0
Installed DataValueInterfaces ───────── v1.0.0
Installed Parsers ───────────────────── v0.3.10
Installed JSON ──────────────────────── v0.21.0
Installed OrderedCollections ────────── v1.1.0
Installed VersionParsing ────────────── v1.1.3
Updating `~/.julia/environments/v1.3/Project.toml`
[d2ef9438] + Seaborn v0.4.1
Updating `~/.julia/environments/v1.3/Manifest.toml`
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.6
[e2d170a0] + DataValueInterfaces v1.0.0
[e7dc6d0d] + DataValues v0.4.12
[53c48c17] + FixedPointNumbers v0.6.1
[82899510] + IteratorInterfaceExtensions v1.0.0
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[50d2b5c4] + Lazy v0.14.0
[1914dd2f] + MacroTools v0.5.2
[e1d29d7a] + Missings v0.4.3
[bac558e1] + OrderedCollections v1.1.0
[eadc2687] + Pandas v1.3.0
[69de0a69] + Parsers v0.3.10
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[189a3867] + Reexport v0.2.0
[d2ef9438] + Seaborn v0.4.1
[3783bdb8] + TableTraits v1.0.0
[382cd787] + TableTraitsUtils v1.0.1
[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`
Testing Seaborn
Status `/tmp/jl_JujPww/Manifest.toml`
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[9a962f9c] DataAPI v1.1.0
[864edb3b] DataStructures v0.17.6
[e2d170a0] DataValueInterfaces v1.0.0
[e7dc6d0d] DataValues v0.4.12
[53c48c17] FixedPointNumbers v0.6.1
[82899510] IteratorInterfaceExtensions v1.0.0
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[50d2b5c4] Lazy v0.14.0
[1914dd2f] MacroTools v0.5.2
[e1d29d7a] Missings v0.4.3
[bac558e1] OrderedCollections v1.1.0
[eadc2687] Pandas v1.3.0
[69de0a69] Parsers v0.3.10
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[189a3867] Reexport v0.2.0
[d2ef9438] Seaborn v0.4.1
[3783bdb8] TableTraits v1.0.0
[382cd787] TableTraitsUtils v1.0.1
[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 numpy could not be found by pyimport. Usually this means
that you did not install numpy 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 numpy 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 numpy module, you can use `pyimport_conda("numpy", PKG)`,
where PKG is the Anaconda package the contains the module numpy,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'numpy'",)
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/Pandas/wBpaf/src/Pandas.jl:25
[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 Pandas
in expression starting at /root/.julia/packages/Seaborn/E3HS0/src/Seaborn.jl:41
ERROR: LoadError: Failed to precompile Seaborn [d2ef9438-c967-53ab-8060-373fdd9e13eb] to /root/.julia/compiled/v1.3/Seaborn/AnPQn_nbGDe.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/Seaborn/E3HS0/test/runtests.jl:1
ERROR: Package Seaborn 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