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 4 minutes, 33 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed DataAPI ────────────── v1.1.0
Installed Missings ───────────── v0.4.3
Installed OptimBase ──────────── v2.0.0
Installed PDMats ─────────────── v0.9.10
Installed Colors ─────────────── v0.9.6
Installed BinaryProvider ─────── v0.5.8
Installed StatsBase ──────────── v0.32.0
Installed Spectra ────────────── v0.4.2
Installed StatsFuns ──────────── v0.9.0
Installed Conda ──────────────── v1.3.0
Installed Requires ───────────── v0.5.2
Installed CommonSubexpressions ─ v0.2.0
Installed Polynomials ────────── v0.6.0
Installed NLSolversBase ──────── v7.5.0
Installed LsqFit ─────────────── v0.8.1
Installed URIParser ──────────── v0.4.0
Installed Reexport ───────────── v0.2.0
Installed PyCall ─────────────── v1.91.2
Installed Compat ─────────────── v2.2.0
Installed RecipesBase ────────── v0.7.0
Installed ForwardDiff ────────── v0.10.7
Installed Calculus ───────────── v0.5.1
Installed OrderedCollections ─── v1.1.0
Installed Rmath ──────────────── v0.5.1
Installed DataStructures ─────── v0.17.6
Installed FixedPointNumbers ──── v0.6.1
Installed Distributions ──────── v0.21.9
Installed DiffRules ──────────── v0.1.0
Installed Parsers ────────────── v0.3.10
Installed JSON ───────────────── v0.21.0
Installed LaTeXStrings ───────── v1.0.3
Installed DiffEqDiffTools ────── v1.5.0
Installed ArrayInterface ─────── v2.0.0
Installed StaticArrays ───────── v0.12.1
Installed NaNMath ────────────── v0.3.3
Installed DiffResults ────────── v0.0.4
Installed QuadGK ─────────────── v2.1.1
Installed PyPlot ─────────────── v2.8.2
Installed SortingAlgorithms ──── v0.3.1
Installed Dierckx ────────────── v0.4.1
Installed VersionParsing ─────── v1.1.3
Installed MacroTools ─────────── v0.5.2
Installed BinDeps ────────────── v0.8.10
Installed Arpack ─────────────── v0.3.1
Installed SpecialFunctions ───── v0.8.0
Installed ColorTypes ─────────── v0.8.0
Updating `~/.julia/environments/v1.2/Project.toml`
[391af1a9] + Spectra v0.4.2
Updating `~/.julia/environments/v1.2/Manifest.toml`
[7d9fca2a] + Arpack v0.3.1
[4fba245c] + ArrayInterface v2.0.0
[9e28174c] + BinDeps v0.8.10
[b99e7846] + BinaryProvider v0.5.8
[49dc2e85] + Calculus v0.5.1
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[bbf7d656] + CommonSubexpressions v0.2.0
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.6
[39dd38d3] + Dierckx v0.4.1
[01453d9d] + DiffEqDiffTools v1.5.0
[163ba53b] + DiffResults v0.0.4
[b552c78f] + DiffRules v0.1.0
[31c24e10] + Distributions v0.21.9
[53c48c17] + FixedPointNumbers v0.6.1
[f6369f11] + ForwardDiff v0.10.7
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[2fda8390] + LsqFit v0.8.1
[1914dd2f] + MacroTools v0.5.2
[e1d29d7a] + Missings v0.4.3
[d41bc354] + NLSolversBase v7.5.0
[77ba4419] + NaNMath v0.3.3
[87e2bd06] + OptimBase v2.0.0
[bac558e1] + OrderedCollections v1.1.0
[90014a1f] + PDMats v0.9.10
[69de0a69] + Parsers v0.3.10
[f27b6e38] + Polynomials v0.6.0
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[1fd47b50] + QuadGK v2.1.1
[3cdcf5f2] + RecipesBase v0.7.0
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v0.5.2
[79098fc4] + Rmath v0.5.1
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.8.0
[391af1a9] + Spectra v0.4.2
[90137ffa] + StaticArrays v0.12.1
[2913bbd2] + StatsBase v0.32.0
[4c63d2b9] + StatsFuns v0.9.0
[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
[4607b0f0] + SuiteSparse
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
Building Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
Building Conda ───────────→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Building PyCall ──────────→ `~/.julia/packages/PyCall/ttONZ/deps/build.log`
Building Dierckx ─────────→ `~/.julia/packages/Dierckx/9SY4A/deps/build.log`
Building Spectra ─────────→ `~/.julia/packages/Spectra/HGaGF/deps/build.log`
┌ Error: Error building `Spectra`:
│ ERROR: LoadError: PyError (PyImport_ImportModule
│
│ The Python package pip could not be found by pyimport. Usually this means
│ that you did not install pip 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 pip 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 pip module, you can use `pyimport_conda("pip", PKG)`,
│ where PKG is the Anaconda package the contains the module pip,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'pip'",)
│
│ 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(::String, ::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:701
│ [4] top-level scope at /root/.julia/packages/Spectra/HGaGF/deps/build.jl:8
│ [5] include at ./boot.jl:328 [inlined]
│ [6] include_relative(::Module, ::String) at ./loading.jl:1094
│ [7] include(::Module, ::String) at ./Base.jl:31
│ [8] include(::String) at ./client.jl:431
│ [9] top-level scope at none:5
│ in expression starting at /root/.julia/packages/Spectra/HGaGF/deps/build.jl:8
│ Running build.jl for the Spectra package.
└ @ Pkg.Operations /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/backwards_compatible_isolation.jl:647
Testing Spectra
Status `/tmp/jl_E9wREE/Manifest.toml`
[7d9fca2a] Arpack v0.3.1
[4fba245c] ArrayInterface v2.0.0
[9e28174c] BinDeps v0.8.10
[b99e7846] BinaryProvider v0.5.8
[49dc2e85] Calculus v0.5.1
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[bbf7d656] CommonSubexpressions v0.2.0
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[9a962f9c] DataAPI v1.1.0
[864edb3b] DataStructures v0.17.6
[39dd38d3] Dierckx v0.4.1
[01453d9d] DiffEqDiffTools v1.5.0
[163ba53b] DiffResults v0.0.4
[b552c78f] DiffRules v0.1.0
[31c24e10] Distributions v0.21.9
[53c48c17] FixedPointNumbers v0.6.1
[f6369f11] ForwardDiff v0.10.7
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[2fda8390] LsqFit v0.8.1
[1914dd2f] MacroTools v0.5.2
[e1d29d7a] Missings v0.4.3
[d41bc354] NLSolversBase v7.5.0
[77ba4419] NaNMath v0.3.3
[87e2bd06] OptimBase v2.0.0
[bac558e1] OrderedCollections v1.1.0
[90014a1f] PDMats v0.9.10
[69de0a69] Parsers v0.3.10
[f27b6e38] Polynomials v0.6.0
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[1fd47b50] QuadGK v2.1.1
[3cdcf5f2] RecipesBase v0.7.0
[189a3867] Reexport v0.2.0
[ae029012] Requires v0.5.2
[79098fc4] Rmath v0.5.1
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.8.0
[391af1a9] Spectra v0.4.2
[90137ffa] StaticArrays v0.12.1
[2913bbd2] StatsBase v0.32.0
[4c63d2b9] StatsFuns v0.9.0
[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`]
[4607b0f0] SuiteSparse [`@stdlib/SuiteSparse`]
[8dfed614] Test [`@stdlib/Test`]
[cf7118a7] UUIDs [`@stdlib/UUIDs`]
[4ec0a83e] Unicode [`@stdlib/Unicode`]
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package rampy could not be found by pyimport. Usually this means
that you did not install rampy 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 rampy 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 rampy module, you can use `pyimport_conda("rampy", PKG)`,
where PKG is the Anaconda package the contains the module rampy,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'rampy'",)
Stacktrace:
[1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
[2] __init__() at /root/.julia/packages/Spectra/HGaGF/src/Spectra.jl:32
[3] _include_from_serialized(::String, ::Array{Any,1}) at ./loading.jl:685
[4] _require_from_serialized(::String) at ./loading.jl:736
[5] _require(::Base.PkgId) at ./loading.jl:1023
[6] require(::Base.PkgId) at ./loading.jl:911
[7] require(::Module, ::Symbol) at ./loading.jl:906
[8] include at ./boot.jl:328 [inlined]
[9] include_relative(::Module, ::String) at ./loading.jl:1094
[10] include(::Module, ::String) at ./Base.jl:31
[11] include(::String) at ./client.jl:431
[12] top-level scope at none:5
during initialization of module Spectra
in expression starting at /root/.julia/packages/Spectra/HGaGF/test/runtests.jl:1
ERROR: Package Spectra 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 4 minutes, 33 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed URIParser ──────────── v0.4.0
Installed SortingAlgorithms ──── v0.3.1
Installed DiffResults ────────── v0.0.4
Installed Arpack ─────────────── v0.3.1
Installed DataStructures ─────── v0.17.6
Installed StaticArrays ───────── v0.12.1
Installed Spectra ────────────── v0.4.2
Installed QuadGK ─────────────── v2.1.1
Installed BinaryProvider ─────── v0.5.8
Installed LsqFit ─────────────── v0.8.1
Installed Compat ─────────────── v2.2.0
Installed NLSolversBase ──────── v7.5.0
Installed Parsers ────────────── v0.3.10
Installed StatsFuns ──────────── v0.9.0
Installed Missings ───────────── v0.4.3
Installed Distributions ──────── v0.21.9
Installed MacroTools ─────────── v0.5.2
Installed Rmath ──────────────── v0.5.1
Installed OrderedCollections ─── v1.1.0
Installed FixedPointNumbers ──── v0.6.1
Installed PyCall ─────────────── v1.91.2
Installed CommonSubexpressions ─ v0.2.0
Installed JSON ───────────────── v0.21.0
Installed SpecialFunctions ───── v0.8.0
Installed ColorTypes ─────────── v0.8.0
Installed RecipesBase ────────── v0.7.0
Installed BinDeps ────────────── v0.8.10
Installed DataAPI ────────────── v1.1.0
Installed OptimBase ──────────── v2.0.0
Installed ForwardDiff ────────── v0.10.7
Installed Polynomials ────────── v0.6.0
Installed NaNMath ────────────── v0.3.3
Installed DiffEqDiffTools ────── v1.5.0
Installed PyPlot ─────────────── v2.8.2
Installed Colors ─────────────── v0.9.6
Installed LaTeXStrings ───────── v1.0.3
Installed DiffRules ──────────── v0.1.0
Installed Calculus ───────────── v0.5.1
Installed Requires ───────────── v0.5.2
Installed ArrayInterface ─────── v2.0.0
Installed Conda ──────────────── v1.3.0
Installed VersionParsing ─────── v1.1.3
Installed PDMats ─────────────── v0.9.10
Installed Reexport ───────────── v0.2.0
Installed StatsBase ──────────── v0.32.0
Installed Dierckx ────────────── v0.4.1
Updating `~/.julia/environments/v1.3/Project.toml`
[391af1a9] + Spectra v0.4.2
Updating `~/.julia/environments/v1.3/Manifest.toml`
[7d9fca2a] + Arpack v0.3.1
[4fba245c] + ArrayInterface v2.0.0
[9e28174c] + BinDeps v0.8.10
[b99e7846] + BinaryProvider v0.5.8
[49dc2e85] + Calculus v0.5.1
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[bbf7d656] + CommonSubexpressions v0.2.0
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.6
[39dd38d3] + Dierckx v0.4.1
[01453d9d] + DiffEqDiffTools v1.5.0
[163ba53b] + DiffResults v0.0.4
[b552c78f] + DiffRules v0.1.0
[31c24e10] + Distributions v0.21.9
[53c48c17] + FixedPointNumbers v0.6.1
[f6369f11] + ForwardDiff v0.10.7
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[2fda8390] + LsqFit v0.8.1
[1914dd2f] + MacroTools v0.5.2
[e1d29d7a] + Missings v0.4.3
[d41bc354] + NLSolversBase v7.5.0
[77ba4419] + NaNMath v0.3.3
[87e2bd06] + OptimBase v2.0.0
[bac558e1] + OrderedCollections v1.1.0
[90014a1f] + PDMats v0.9.10
[69de0a69] + Parsers v0.3.10
[f27b6e38] + Polynomials v0.6.0
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[1fd47b50] + QuadGK v2.1.1
[3cdcf5f2] + RecipesBase v0.7.0
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v0.5.2
[79098fc4] + Rmath v0.5.1
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.8.0
[391af1a9] + Spectra v0.4.2
[90137ffa] + StaticArrays v0.12.1
[2913bbd2] + StatsBase v0.32.0
[4c63d2b9] + StatsFuns v0.9.0
[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
[4607b0f0] + SuiteSparse
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
Building Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
Building Conda ───────────→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Building PyCall ──────────→ `~/.julia/packages/PyCall/ttONZ/deps/build.log`
Building Dierckx ─────────→ `~/.julia/packages/Dierckx/9SY4A/deps/build.log`
Building Spectra ─────────→ `~/.julia/packages/Spectra/HGaGF/deps/build.log`
┌ Error: Error building `Spectra`:
│ ERROR: LoadError: PyError (PyImport_ImportModule
│
│ The Python package pip could not be found by pyimport. Usually this means
│ that you did not install pip 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 pip 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 pip module, you can use `pyimport_conda("pip", PKG)`,
│ where PKG is the Anaconda package the contains the module pip,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'pip'",)
│
│ 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(::String, ::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:701
│ [4] top-level scope at /root/.julia/packages/Spectra/HGaGF/deps/build.jl:8
│ [5] include at ./boot.jl:328 [inlined]
│ [6] include_relative(::Module, ::String) at ./loading.jl:1105
│ [7] include(::Module, ::String) at ./Base.jl:31
│ [8] include(::String) at ./client.jl:424
│ [9] top-level scope at none:5
│ in expression starting at /root/.julia/packages/Spectra/HGaGF/deps/build.jl:8
│ Running build.jl for the Spectra package.
└ @ Pkg.Operations /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/backwards_compatible_isolation.jl:649
Testing Spectra
Status `/tmp/jl_rlGt6a/Manifest.toml`
[7d9fca2a] Arpack v0.3.1
[4fba245c] ArrayInterface v2.0.0
[9e28174c] BinDeps v0.8.10
[b99e7846] BinaryProvider v0.5.8
[49dc2e85] Calculus v0.5.1
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[bbf7d656] CommonSubexpressions v0.2.0
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[9a962f9c] DataAPI v1.1.0
[864edb3b] DataStructures v0.17.6
[39dd38d3] Dierckx v0.4.1
[01453d9d] DiffEqDiffTools v1.5.0
[163ba53b] DiffResults v0.0.4
[b552c78f] DiffRules v0.1.0
[31c24e10] Distributions v0.21.9
[53c48c17] FixedPointNumbers v0.6.1
[f6369f11] ForwardDiff v0.10.7
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[2fda8390] LsqFit v0.8.1
[1914dd2f] MacroTools v0.5.2
[e1d29d7a] Missings v0.4.3
[d41bc354] NLSolversBase v7.5.0
[77ba4419] NaNMath v0.3.3
[87e2bd06] OptimBase v2.0.0
[bac558e1] OrderedCollections v1.1.0
[90014a1f] PDMats v0.9.10
[69de0a69] Parsers v0.3.10
[f27b6e38] Polynomials v0.6.0
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[1fd47b50] QuadGK v2.1.1
[3cdcf5f2] RecipesBase v0.7.0
[189a3867] Reexport v0.2.0
[ae029012] Requires v0.5.2
[79098fc4] Rmath v0.5.1
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.8.0
[391af1a9] Spectra v0.4.2
[90137ffa] StaticArrays v0.12.1
[2913bbd2] StatsBase v0.32.0
[4c63d2b9] StatsFuns v0.9.0
[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`]
[4607b0f0] SuiteSparse [`@stdlib/SuiteSparse`]
[8dfed614] Test [`@stdlib/Test`]
[cf7118a7] UUIDs [`@stdlib/UUIDs`]
[4ec0a83e] Unicode [`@stdlib/Unicode`]
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package rampy could not be found by pyimport. Usually this means
that you did not install rampy 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 rampy 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 rampy module, you can use `pyimport_conda("rampy", PKG)`,
where PKG is the Anaconda package the contains the module rampy,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'rampy'",)
Stacktrace:
[1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
[2] __init__() at /root/.julia/packages/Spectra/HGaGF/src/Spectra.jl:32
[3] _include_from_serialized(::String, ::Array{Any,1}) at ./loading.jl:692
[4] _require_from_serialized(::String) at ./loading.jl:743
[5] _require(::Base.PkgId) at ./loading.jl:1034
[6] require(::Base.PkgId) at ./loading.jl:922
[7] require(::Module, ::Symbol) at ./loading.jl:917
[8] include at ./boot.jl:328 [inlined]
[9] include_relative(::Module, ::String) at ./loading.jl:1105
[10] include(::Module, ::String) at ./Base.jl:31
[11] include(::String) at ./client.jl:424
[12] top-level scope at none:6
during initialization of module Spectra
in expression starting at /root/.julia/packages/Spectra/HGaGF/test/runtests.jl:1
ERROR: Package Spectra 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 4 minutes, 19 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed NaNMath ────────────── v0.3.3
Installed ColorTypes ─────────── v0.8.0
Installed Conda ──────────────── v1.3.0
Installed PyCall ─────────────── v1.91.2
Installed QuadGK ─────────────── v2.1.1
Installed DataStructures ─────── v0.17.6
Installed Colors ─────────────── v0.9.6
Installed Polynomials ────────── v0.6.0
Installed FixedPointNumbers ──── v0.6.1
Installed SpecialFunctions ───── v0.8.0
Installed Compat ─────────────── v2.2.0
Installed BinDeps ────────────── v0.8.10
Installed StaticArrays ───────── v0.12.1
Installed DiffResults ────────── v0.0.4
Installed MacroTools ─────────── v0.5.2
Installed StatsBase ──────────── v0.32.0
Installed LaTeXStrings ───────── v1.0.3
Installed Spectra ────────────── v0.4.2
Installed Arpack ─────────────── v0.3.1
Installed URIParser ──────────── v0.4.0
Installed Calculus ───────────── v0.5.1
Installed ForwardDiff ────────── v0.10.7
Installed Missings ───────────── v0.4.3
Installed StatsFuns ──────────── v0.9.0
Installed CommonSubexpressions ─ v0.2.0
Installed Rmath ──────────────── v0.5.1
Installed Dierckx ────────────── v0.4.1
Installed NLSolversBase ──────── v7.5.0
Installed BinaryProvider ─────── v0.5.8
Installed DiffRules ──────────── v0.1.0
Installed OptimBase ──────────── v2.0.0
Installed Requires ───────────── v0.5.2
Installed PyPlot ─────────────── v2.8.2
Installed RecipesBase ────────── v0.7.0
Installed Reexport ───────────── v0.2.0
Installed ArrayInterface ─────── v2.0.0
Installed JSON ───────────────── v0.21.0
Installed DataAPI ────────────── v1.1.0
Installed Distributions ──────── v0.21.9
Installed PDMats ─────────────── v0.9.10
Installed OrderedCollections ─── v1.1.0
Installed Parsers ────────────── v0.3.10
Installed VersionParsing ─────── v1.1.3
Installed DiffEqDiffTools ────── v1.5.0
Installed SortingAlgorithms ──── v0.3.1
Installed LsqFit ─────────────── v0.8.1
Updating `~/.julia/environments/v1.3/Project.toml`
[391af1a9] + Spectra v0.4.2
Updating `~/.julia/environments/v1.3/Manifest.toml`
[7d9fca2a] + Arpack v0.3.1
[4fba245c] + ArrayInterface v2.0.0
[9e28174c] + BinDeps v0.8.10
[b99e7846] + BinaryProvider v0.5.8
[49dc2e85] + Calculus v0.5.1
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[bbf7d656] + CommonSubexpressions v0.2.0
[34da2185] + Compat v2.2.0
[8f4d0f93] + Conda v1.3.0
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.6
[39dd38d3] + Dierckx v0.4.1
[01453d9d] + DiffEqDiffTools v1.5.0
[163ba53b] + DiffResults v0.0.4
[b552c78f] + DiffRules v0.1.0
[31c24e10] + Distributions v0.21.9
[53c48c17] + FixedPointNumbers v0.6.1
[f6369f11] + ForwardDiff v0.10.7
[682c06a0] + JSON v0.21.0
[b964fa9f] + LaTeXStrings v1.0.3
[2fda8390] + LsqFit v0.8.1
[1914dd2f] + MacroTools v0.5.2
[e1d29d7a] + Missings v0.4.3
[d41bc354] + NLSolversBase v7.5.0
[77ba4419] + NaNMath v0.3.3
[87e2bd06] + OptimBase v2.0.0
[bac558e1] + OrderedCollections v1.1.0
[90014a1f] + PDMats v0.9.10
[69de0a69] + Parsers v0.3.10
[f27b6e38] + Polynomials v0.6.0
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[1fd47b50] + QuadGK v2.1.1
[3cdcf5f2] + RecipesBase v0.7.0
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v0.5.2
[79098fc4] + Rmath v0.5.1
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.8.0
[391af1a9] + Spectra v0.4.2
[90137ffa] + StaticArrays v0.12.1
[2913bbd2] + StatsBase v0.32.0
[4c63d2b9] + StatsFuns v0.9.0
[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
[4607b0f0] + SuiteSparse
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
Building Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
Building Conda ───────────→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Building PyCall ──────────→ `~/.julia/packages/PyCall/ttONZ/deps/build.log`
Building Dierckx ─────────→ `~/.julia/packages/Dierckx/9SY4A/deps/build.log`
Building Spectra ─────────→ `~/.julia/packages/Spectra/HGaGF/deps/build.log`
┌ Error: Error building `Spectra`:
│ ERROR: LoadError: PyError (PyImport_ImportModule
│
│ The Python package pip could not be found by pyimport. Usually this means
│ that you did not install pip 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 pip 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 pip module, you can use `pyimport_conda("pip", PKG)`,
│ where PKG is the Anaconda package the contains the module pip,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'pip'",)
│
│ 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(::String, ::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:701
│ [4] top-level scope at /root/.julia/packages/Spectra/HGaGF/deps/build.jl:8
│ [5] include at ./boot.jl:328 [inlined]
│ [6] include_relative(::Module, ::String) at ./loading.jl:1105
│ [7] include(::Module, ::String) at ./Base.jl:31
│ [8] include(::String) at ./client.jl:424
│ [9] top-level scope at none:5
│ in expression starting at /root/.julia/packages/Spectra/HGaGF/deps/build.jl:8
│ Running build.jl for the Spectra package.
└ @ Pkg.Operations /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/backwards_compatible_isolation.jl:649
Testing Spectra
Status `/tmp/jl_JDGTDB/Manifest.toml`
[7d9fca2a] Arpack v0.3.1
[4fba245c] ArrayInterface v2.0.0
[9e28174c] BinDeps v0.8.10
[b99e7846] BinaryProvider v0.5.8
[49dc2e85] Calculus v0.5.1
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[bbf7d656] CommonSubexpressions v0.2.0
[34da2185] Compat v2.2.0
[8f4d0f93] Conda v1.3.0
[9a962f9c] DataAPI v1.1.0
[864edb3b] DataStructures v0.17.6
[39dd38d3] Dierckx v0.4.1
[01453d9d] DiffEqDiffTools v1.5.0
[163ba53b] DiffResults v0.0.4
[b552c78f] DiffRules v0.1.0
[31c24e10] Distributions v0.21.9
[53c48c17] FixedPointNumbers v0.6.1
[f6369f11] ForwardDiff v0.10.7
[682c06a0] JSON v0.21.0
[b964fa9f] LaTeXStrings v1.0.3
[2fda8390] LsqFit v0.8.1
[1914dd2f] MacroTools v0.5.2
[e1d29d7a] Missings v0.4.3
[d41bc354] NLSolversBase v7.5.0
[77ba4419] NaNMath v0.3.3
[87e2bd06] OptimBase v2.0.0
[bac558e1] OrderedCollections v1.1.0
[90014a1f] PDMats v0.9.10
[69de0a69] Parsers v0.3.10
[f27b6e38] Polynomials v0.6.0
[438e738f] PyCall v1.91.2
[d330b81b] PyPlot v2.8.2
[1fd47b50] QuadGK v2.1.1
[3cdcf5f2] RecipesBase v0.7.0
[189a3867] Reexport v0.2.0
[ae029012] Requires v0.5.2
[79098fc4] Rmath v0.5.1
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.8.0
[391af1a9] Spectra v0.4.2
[90137ffa] StaticArrays v0.12.1
[2913bbd2] StatsBase v0.32.0
[4c63d2b9] StatsFuns v0.9.0
[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`]
[4607b0f0] SuiteSparse [`@stdlib/SuiteSparse`]
[8dfed614] Test [`@stdlib/Test`]
[cf7118a7] UUIDs [`@stdlib/UUIDs`]
[4ec0a83e] Unicode [`@stdlib/Unicode`]
ERROR: LoadError: InitError: PyError (PyImport_ImportModule
The Python package rampy could not be found by pyimport. Usually this means
that you did not install rampy 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 rampy 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 rampy module, you can use `pyimport_conda("rampy", PKG)`,
where PKG is the Anaconda package the contains the module rampy,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).
) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'rampy'",)
Stacktrace:
[1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
[2] __init__() at /root/.julia/packages/Spectra/HGaGF/src/Spectra.jl:32
[3] _include_from_serialized(::String, ::Array{Any,1}) at ./loading.jl:692
[4] _require_from_serialized(::String) at ./loading.jl:743
[5] _require(::Base.PkgId) at ./loading.jl:1034
[6] require(::Base.PkgId) at ./loading.jl:922
[7] require(::Module, ::Symbol) at ./loading.jl:917
[8] include at ./boot.jl:328 [inlined]
[9] include_relative(::Module, ::String) at ./loading.jl:1105
[10] include(::Module, ::String) at ./Base.jl:31
[11] include(::String) at ./client.jl:424
[12] top-level scope at none:6
during initialization of module Spectra
in expression starting at /root/.julia/packages/Spectra/HGaGF/test/runtests.jl:1
ERROR: Package Spectra 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