VisualDL

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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, 27 seconds.

Click here to download the log file.

 Resolving package versions...
 Installed VersionParsing ───── v1.1.3
 Installed Parsers ──────────── v0.3.10
 Installed Compat ───────────── v2.2.0
 Installed OrderedCollections ─ v1.1.0
 Installed DataStructures ───── v0.17.6
 Installed PyCall ───────────── v1.91.2
 Installed JSON ─────────────── v0.21.0
 Installed VisualDL ─────────── v0.1.1
 Installed Conda ────────────── v1.3.0
 Installed MacroTools ───────── v0.5.2
  Updating `~/.julia/environments/v1.2/Project.toml`
  [98ad42d3] + VisualDL v0.1.1
  Updating `~/.julia/environments/v1.2/Manifest.toml`
  [34da2185] + Compat v2.2.0
  [8f4d0f93] + Conda v1.3.0
  [864edb3b] + DataStructures v0.17.6
  [682c06a0] + JSON v0.21.0
  [1914dd2f] + MacroTools v0.5.2
  [bac558e1] + OrderedCollections v1.1.0
  [69de0a69] + Parsers v0.3.10
  [438e738f] + PyCall v1.91.2
  [81def892] + VersionParsing v1.1.3
  [98ad42d3] + VisualDL v0.1.1
  [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 VisualDL → `~/.julia/packages/VisualDL/5fhZ1/deps/build.log`
┌ Error: Error building `VisualDL`: 
│ ERROR: LoadError: Python VisualDL not installed.
│ Please run `pip install visualdl` and try again.
│ 
│ Stacktrace:
│  [1] error(::String) at ./error.jl:33
│  [2] top-level scope at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:9
│  [3] include at ./boot.jl:328 [inlined]
│  [4] include_relative(::Module, ::String) at ./loading.jl:1094
│  [5] include(::Module, ::String) at ./Base.jl:31
│  [6] include(::String) at ./client.jl:431
│  [7] top-level scope at none:5
│ in expression starting at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:4
│ caused by [exception 1]
│ PyError (PyImport_ImportModule
│ 
│ The Python package visualdl could not be found by pyimport. Usually this means
│ that you did not install visualdl 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 visualdl 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 visualdl module, you can use `pyimport_conda("visualdl", PKG)`,
│ where PKG is the Anaconda package the contains the module visualdl,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│ 
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'visualdl'",)
│ 
│ Stacktrace:
│  [1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
│  [2] top-level scope at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:5
│  [3] include at ./boot.jl:328 [inlined]
│  [4] include_relative(::Module, ::String) at ./loading.jl:1094
│  [5] include(::Module, ::String) at ./Base.jl:31
│  [6] include(::String) at ./client.jl:431
│  [7] top-level scope at none:5
└ @ Pkg.Operations /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/backwards_compatible_isolation.jl:647
   Testing VisualDL
    Status `/tmp/jl_4W3CRT/Manifest.toml`
  [34da2185] Compat v2.2.0
  [8f4d0f93] Conda v1.3.0
  [864edb3b] DataStructures v0.17.6
  [682c06a0] JSON v0.21.0
  [1914dd2f] MacroTools v0.5.2
  [bac558e1] OrderedCollections v1.1.0
  [69de0a69] Parsers v0.3.10
  [438e738f] PyCall v1.91.2
  [81def892] VersionParsing v1.1.3
  [98ad42d3] VisualDL v0.1.1
  [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 visualdl could not be found by pyimport. Usually this means
that you did not install visualdl 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 visualdl 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 visualdl module, you can use `pyimport_conda("visualdl", PKG)`,
where PKG is the Anaconda package the contains the module visualdl,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).

) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'visualdl'",)

Stacktrace:
 [1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
 [2] __init__() at /root/.julia/packages/VisualDL/5fhZ1/src/VisualDL.jl:8
 [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 VisualDL
in expression starting at /root/.julia/packages/VisualDL/5fhZ1/test/runtests.jl:2
ERROR: Package VisualDL 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, 39 seconds.

Click here to download the log file.

 Resolving package versions...
 Installed VersionParsing ───── v1.1.3
 Installed Compat ───────────── v2.2.0
 Installed OrderedCollections ─ v1.1.0
 Installed PyCall ───────────── v1.91.2
 Installed MacroTools ───────── v0.5.2
 Installed DataStructures ───── v0.17.6
 Installed VisualDL ─────────── v0.1.1
 Installed JSON ─────────────── v0.21.0
 Installed Conda ────────────── v1.3.0
 Installed Parsers ──────────── v0.3.10
  Updating `~/.julia/environments/v1.3/Project.toml`
  [98ad42d3] + VisualDL v0.1.1
  Updating `~/.julia/environments/v1.3/Manifest.toml`
  [34da2185] + Compat v2.2.0
  [8f4d0f93] + Conda v1.3.0
  [864edb3b] + DataStructures v0.17.6
  [682c06a0] + JSON v0.21.0
  [1914dd2f] + MacroTools v0.5.2
  [bac558e1] + OrderedCollections v1.1.0
  [69de0a69] + Parsers v0.3.10
  [438e738f] + PyCall v1.91.2
  [81def892] + VersionParsing v1.1.3
  [98ad42d3] + VisualDL v0.1.1
  [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 VisualDL → `~/.julia/packages/VisualDL/5fhZ1/deps/build.log`
┌ Error: Error building `VisualDL`: 
│ ERROR: LoadError: Python VisualDL not installed.
│ Please run `pip install visualdl` and try again.
│ 
│ Stacktrace:
│  [1] error(::String) at ./error.jl:33
│  [2] top-level scope at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:9
│  [3] include at ./boot.jl:328 [inlined]
│  [4] include_relative(::Module, ::String) at ./loading.jl:1105
│  [5] include(::Module, ::String) at ./Base.jl:31
│  [6] include(::String) at ./client.jl:424
│  [7] top-level scope at none:5
│ in expression starting at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:4
│ caused by [exception 1]
│ PyError (PyImport_ImportModule
│ 
│ The Python package visualdl could not be found by pyimport. Usually this means
│ that you did not install visualdl 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 visualdl 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 visualdl module, you can use `pyimport_conda("visualdl", PKG)`,
│ where PKG is the Anaconda package the contains the module visualdl,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│ 
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'visualdl'",)
│ 
│ Stacktrace:
│  [1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
│  [2] top-level scope at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:5
│  [3] include at ./boot.jl:328 [inlined]
│  [4] include_relative(::Module, ::String) at ./loading.jl:1105
│  [5] include(::Module, ::String) at ./Base.jl:31
│  [6] include(::String) at ./client.jl:424
│  [7] top-level scope at none:5
└ @ Pkg.Operations /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/backwards_compatible_isolation.jl:649
   Testing VisualDL
    Status `/tmp/jl_j48IN8/Manifest.toml`
  [34da2185] Compat v2.2.0
  [8f4d0f93] Conda v1.3.0
  [864edb3b] DataStructures v0.17.6
  [682c06a0] JSON v0.21.0
  [1914dd2f] MacroTools v0.5.2
  [bac558e1] OrderedCollections v1.1.0
  [69de0a69] Parsers v0.3.10
  [438e738f] PyCall v1.91.2
  [81def892] VersionParsing v1.1.3
  [98ad42d3] VisualDL v0.1.1
  [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 visualdl could not be found by pyimport. Usually this means
that you did not install visualdl 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 visualdl 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 visualdl module, you can use `pyimport_conda("visualdl", PKG)`,
where PKG is the Anaconda package the contains the module visualdl,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).

) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'visualdl'",)

Stacktrace:
 [1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
 [2] __init__() at /root/.julia/packages/VisualDL/5fhZ1/src/VisualDL.jl:8
 [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 VisualDL
in expression starting at /root/.julia/packages/VisualDL/5fhZ1/test/runtests.jl:2
ERROR: Package VisualDL 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 1 minute, 34 seconds.

Click here to download the log file.

 Resolving package versions...
 Installed Compat ───────────── v2.2.0
 Installed Conda ────────────── v1.3.0
 Installed OrderedCollections ─ v1.1.0
 Installed PyCall ───────────── v1.91.2
 Installed MacroTools ───────── v0.5.2
 Installed DataStructures ───── v0.17.6
 Installed VisualDL ─────────── v0.1.1
 Installed JSON ─────────────── v0.21.0
 Installed Parsers ──────────── v0.3.10
 Installed VersionParsing ───── v1.1.3
  Updating `~/.julia/environments/v1.3/Project.toml`
  [98ad42d3] + VisualDL v0.1.1
  Updating `~/.julia/environments/v1.3/Manifest.toml`
  [34da2185] + Compat v2.2.0
  [8f4d0f93] + Conda v1.3.0
  [864edb3b] + DataStructures v0.17.6
  [682c06a0] + JSON v0.21.0
  [1914dd2f] + MacroTools v0.5.2
  [bac558e1] + OrderedCollections v1.1.0
  [69de0a69] + Parsers v0.3.10
  [438e738f] + PyCall v1.91.2
  [81def892] + VersionParsing v1.1.3
  [98ad42d3] + VisualDL v0.1.1
  [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 VisualDL → `~/.julia/packages/VisualDL/5fhZ1/deps/build.log`
┌ Error: Error building `VisualDL`: 
│ ERROR: LoadError: Python VisualDL not installed.
│ Please run `pip install visualdl` and try again.
│ 
│ Stacktrace:
│  [1] error(::String) at ./error.jl:33
│  [2] top-level scope at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:9
│  [3] include at ./boot.jl:328 [inlined]
│  [4] include_relative(::Module, ::String) at ./loading.jl:1105
│  [5] include(::Module, ::String) at ./Base.jl:31
│  [6] include(::String) at ./client.jl:424
│  [7] top-level scope at none:5
│ in expression starting at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:4
│ caused by [exception 1]
│ PyError (PyImport_ImportModule
│ 
│ The Python package visualdl could not be found by pyimport. Usually this means
│ that you did not install visualdl 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 visualdl 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 visualdl module, you can use `pyimport_conda("visualdl", PKG)`,
│ where PKG is the Anaconda package the contains the module visualdl,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│ 
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'visualdl'",)
│ 
│ Stacktrace:
│  [1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
│  [2] top-level scope at /root/.julia/packages/VisualDL/5fhZ1/deps/build.jl:5
│  [3] include at ./boot.jl:328 [inlined]
│  [4] include_relative(::Module, ::String) at ./loading.jl:1105
│  [5] include(::Module, ::String) at ./Base.jl:31
│  [6] include(::String) at ./client.jl:424
│  [7] top-level scope at none:5
└ @ Pkg.Operations /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/backwards_compatible_isolation.jl:649
   Testing VisualDL
    Status `/tmp/jl_ofltyC/Manifest.toml`
  [34da2185] Compat v2.2.0
  [8f4d0f93] Conda v1.3.0
  [864edb3b] DataStructures v0.17.6
  [682c06a0] JSON v0.21.0
  [1914dd2f] MacroTools v0.5.2
  [bac558e1] OrderedCollections v1.1.0
  [69de0a69] Parsers v0.3.10
  [438e738f] PyCall v1.91.2
  [81def892] VersionParsing v1.1.3
  [98ad42d3] VisualDL v0.1.1
  [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 visualdl could not be found by pyimport. Usually this means
that you did not install visualdl 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 visualdl 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 visualdl module, you can use `pyimport_conda("visualdl", PKG)`,
where PKG is the Anaconda package the contains the module visualdl,
or alternatively you can use the Conda package directly (via
`using Conda` followed by `Conda.add` etcetera).

) <class 'ModuleNotFoundError'>
ModuleNotFoundError("No module named 'visualdl'",)

Stacktrace:
 [1] pyimport(::String) at /root/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
 [2] __init__() at /root/.julia/packages/VisualDL/5fhZ1/src/VisualDL.jl:8
 [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 VisualDL
in expression starting at /root/.julia/packages/VisualDL/5fhZ1/test/runtests.jl:2
ERROR: Package VisualDL 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