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1.6.0-DEV-03e1a89ff1.log
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Julia Version 1.6.0-DEV.633
Commit 03e1a89ff1 (2020-08-13 14:37 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-avx512)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
[ Info: LEGAL NOTICE: package operations send anonymous data about your system to https://pkg.julialang.org (your current package server), including the operating system and Julia versions you are using, and a random client UUID. Running `Pkg.telemetryinfo()` will show exactly what data is sent. See https://julialang.org/legal/data/ for more details about what this data is used for, how long it is retained, and how to opt out of sending it.
Installed DataValueInterfaces ───────── v1.0.0
Installed Missings ──────────────────── v0.4.3
Installed TableTraits ───────────────── v1.0.0
Installed IteratorInterfaceExtensions ─ v1.0.0
Installed Conda ─────────────────────── v1.4.1
Installed Pandas ────────────────────── v1.4.0
Installed Parsers ───────────────────── v1.0.10
Installed JSON ──────────────────────── v0.21.0
Installed DataAPI ───────────────────── v1.3.0
Installed VersionParsing ────────────── v1.2.0
Installed Lazy ──────────────────────── v0.15.1
Installed Compat ────────────────────── v3.13.0
Installed TableTraitsUtils ──────────── v1.0.1
Installed MacroTools ────────────────── v0.5.5
Installed PyCall ────────────────────── v1.91.4
Installed DataValues ────────────────── v0.4.13
Updating `~/.julia/environments/v1.6/Project.toml`
[eadc2687] + Pandas v1.4.0
Updating `~/.julia/environments/v1.6/Manifest.toml`
[34da2185] + Compat v3.13.0
[8f4d0f93] + Conda v1.4.1
[9a962f9c] + DataAPI v1.3.0
[e2d170a0] + DataValueInterfaces v1.0.0
[e7dc6d0d] + DataValues v0.4.13
[82899510] + IteratorInterfaceExtensions v1.0.0
[682c06a0] + JSON v0.21.0
[50d2b5c4] + Lazy v0.15.1
[1914dd2f] + MacroTools v0.5.5
[e1d29d7a] + Missings v0.4.3
[eadc2687] + Pandas v1.4.0
[69de0a69] + Parsers v1.0.10
[438e738f] + PyCall v1.91.4
[3783bdb8] + TableTraits v1.0.0
[382cd787] + TableTraitsUtils v1.0.1
[81def892] + VersionParsing v1.2.0
[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/3rPhK/deps/build.log`
Building PyCall → `~/.julia/packages/PyCall/zqDXB/deps/build.log`
Testing Pandas
Status `/tmp/jl_wtnNxq/Project.toml`
[34da2185] Compat v3.13.0
[e7dc6d0d] DataValues v0.4.13
[82899510] IteratorInterfaceExtensions v1.0.0
[50d2b5c4] Lazy v0.15.1
[eadc2687] Pandas v1.4.0
[438e738f] PyCall v1.91.4
[3783bdb8] TableTraits v1.0.0
[382cd787] TableTraitsUtils v1.0.1
[44cfe95a] Pkg
[10745b16] Statistics
[8dfed614] Test
Status `/tmp/jl_wtnNxq/Manifest.toml`
[34da2185] Compat v3.13.0
[8f4d0f93] Conda v1.4.1
[9a962f9c] DataAPI v1.3.0
[e2d170a0] DataValueInterfaces v1.0.0
[e7dc6d0d] DataValues v0.4.13
[82899510] IteratorInterfaceExtensions v1.0.0
[682c06a0] JSON v0.21.0
[50d2b5c4] Lazy v0.15.1
[1914dd2f] MacroTools v0.5.5
[e1d29d7a] Missings v0.4.3
[eadc2687] Pandas v1.4.0
[69de0a69] Parsers v1.0.10
[438e738f] PyCall v1.91.4
[3783bdb8] TableTraits v1.0.0
[382cd787] TableTraitsUtils v1.0.1
[81def892] VersionParsing v1.2.0
[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
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package pandas could not be found by pyimport. Usually this means
that you did not install pandas 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 pandas 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 pandas module, you can use `pyimport_conda("pandas", PKG)`,
where PKG is the Anaconda package the contains the module pandas,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'pandas'",)
Stacktrace:
[1] pyimport(name::String)
@ PyCall ~/.julia/packages/PyCall/zqDXB/src/PyCall.jl:536
[2] pyimport_conda(modulename::String, condapkg::String, channel::String)
@ PyCall ~/.julia/packages/PyCall/zqDXB/src/PyCall.jl:694
[3] pyimport_conda
@ ~/.julia/packages/PyCall/zqDXB/src/PyCall.jl:693 [inlined]
[4] __init__()
@ Pandas ~/.julia/packages/Pandas/rAPmB/src/Pandas.jl:26
[5] _include_from_serialized(path::String, depmods::Vector{Any})
@ Base ./loading.jl:697
[6] _require_from_serialized(path::String)
@ Base ./loading.jl:749
[7] _require(pkg::Base.PkgId)
@ Base ./loading.jl:1040
[8] require(uuidkey::Base.PkgId)
@ Base ./loading.jl:928
[9] require(into::Module, mod::Symbol)
@ Base ./loading.jl:923
[10] include(fname::String)
@ Base.MainInclude ./client.jl:443
[11] top-level scope
@ none:6
during initialization of module Pandas
in expression starting at /home/pkgeval/.julia/packages/Pandas/rAPmB/test/runtests.jl:1
ERROR: Package Pandas errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N)
@ Pkg.Types /buildworker/worker/package_linux64/build/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 /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/Operations.jl:1567
[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 /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:328
[4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec})
@ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:315
[5] #test#62
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:67 [inlined]
[6] test
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:67 [inlined]
[7] #test#61
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66 [inlined]
[8] test
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66 [inlined]
[9] test(pkg::String; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}})
@ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:65
[10] test(pkg::String)
@ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:65
[11] top-level scope
@ none:16