ArviZ.jl
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Published
20 hours ago •
arviz-devs
arviz-devs
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Hi there
On a windows laptop, using Julia 1.7.2 in a clean env, I get the following
julia> using Pkg
julia> Pkg.activate(".")
Activating new project at `C:\Users\arn203\OneDrive - University of Exeter\Documents\testenv`
julia> Pkg.add("ArviZ")
Updating registry at `C:\Users\arn203\.julia\registries\General`
Updating git-repo `https://github.com/JuliaRegistries/General`
Resolving package versions...
Installed DocStringExtensions ─ v0.9.1
Updating `C:\Users\arn203\OneDrive - University of Exeter\Documents\testenv\Project.toml`
[131c737c] + ArviZ v0.6.0
Updating `C:\Users\arn203\OneDrive - University of Exeter\Documents\testenv\Manifest.toml`
[79e6a3ab] + Adapt v3.3.3
[4fba245c] + ArrayInterface v6.0.21
[30b0a656] + ArrayInterfaceCore v0.1.15
[131c737c] + ArviZ v0.6.0
[d360d2e6] + ChainRulesCore v1.15.3
[9e997f8a] + ChangesOfVariables v0.1.4
[3da002f7] + ColorTypes v0.11.4
[5ae59095] + Colors v0.12.8
[34da2185] + Compat v3.45.0
[8f4d0f93] + Conda v1.7.0
[187b0558] + ConstructionBase v1.4.0
[a8cc5b0e] + Crayons v4.1.1
[9a962f9c] + DataAPI v1.10.0
[a93c6f00] + DataFrames v1.3.4
[864edb3b] + DataStructures v0.18.13
[e2d170a0] + DataValueInterfaces v1.0.0
[0703355e] + DimensionalData v0.20.11
[ffbed154] + DocStringExtensions v0.9.1
[411431e0] + Extents v0.1.1
[53c48c17] + FixedPointNumbers v0.8.4
[59287772] + Formatting v0.4.2
[615f187c] + IfElse v0.1.1
[8197267c] + IntervalSets v0.7.1
[3587e190] + InverseFunctions v0.1.7
[41ab1584] + InvertedIndices v1.1.0
[92d709cd] + IrrationalConstants v0.1.1
[82899510] + IteratorInterfaceExtensions v1.0.0
[682c06a0] + JSON v0.21.3
[b964fa9f] + LaTeXStrings v1.3.0
[2ab3a3ac] + LogExpFunctions v0.3.16
[1914dd2f] + MacroTools v0.5.9
[e1d29d7a] + Missings v1.0.2
[bac558e1] + OrderedCollections v1.4.1
[ce719bf2] + PSIS v0.5.1
[69de0a69] + Parsers v2.3.2
[2dfb63ee] + PooledArrays v1.4.2
[08abe8d2] + PrettyTables v1.3.1
[438e738f] + PyCall v1.93.1
[d330b81b] + PyPlot v2.10.0
[3cdcf5f2] + RecipesBase v1.2.1
[189a3867] + Reexport v1.2.2
[ae029012] + Requires v1.3.0
[a2af1166] + SortingAlgorithms v1.0.1
[aedffcd0] + Static v0.7.6
[82ae8749] + StatsAPI v1.4.0
[2913bbd2] + StatsBase v0.33.20
[3783bdb8] + TableTraits v1.0.1
[bd369af6] + Tables v1.7.0
[81def892] + VersionParsing v1.3.0
[0dad84c5] + ArgTools
[56f22d72] + Artifacts
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[f43a241f] + Downloads
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[b27032c2] + LibCURL
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[ca575930] + NetworkOptions
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[4607b0f0] + SuiteSparse
[fa267f1f] + TOML
[a4e569a6] + Tar
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
[e66e0078] + CompilerSupportLibraries_jll
[deac9b47] + LibCURL_jll
[29816b5a] + LibSSH2_jll
[c8ffd9c3] + MbedTLS_jll
[14a3606d] + MozillaCACerts_jll
[4536629a] + OpenBLAS_jll
[83775a58] + Zlib_jll
[8e850b90] + libblastrampoline_jll
[8e850ede] + nghttp2_jll
[3f19e933] + p7zip_jll
Precompiling project...
✗ ArviZ
4 dependencies successfully precompiled in 104 seconds (50 already precompiled)
1 dependency errored. To see a full report either run `import Pkg; Pkg.precompile()` or load the package
julia> Pkg.status()
Status `C:\Users\arn203\OneDrive - University of Exeter\Documents\testenv\Project.toml`
[131c737c] ArviZ v0.6.0
julia> using ArviZ
[ Info: Precompiling ArviZ [131c737c-5715-5e2e-ad31-c244f01c1dc7]
[ Info: Installing arviz via the Conda arviz package...
[ Info: Running `conda config --add channels conda-forge --file 'C:\Users\arn203\.julia\conda\3\condarc-julia.yml' --force` in root environment
Warning: 'conda-forge' already in 'channels' list, moving to the top
[ Info: Running `conda install -y arviz` in root environment
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.
Try installing arviz using pip? [Y/n]: Requirement already satisfied: arviz in c:\users\arn203\.julia\conda\3\lib\site-packages (0.12.1)
Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (3.7.4.3)
Requirement already satisfied: netcdf4 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (1.5.6)
Requirement already satisfied: setuptools>=38.4 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (52.0.0.post20210125)
Requirement already satisfied: matplotlib>=3.0 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (3.3.4)
Requirement already satisfied: packaging in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (20.9)
Requirement already satisfied: xarray-einstats>=0.2 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (0.3.0)
Requirement already satisfied: xarray>=0.16.1 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (0.16.2)
Requirement already satisfied: pandas>=0.23 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (1.2.2)
Requirement already satisfied: scipy>=0.19 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (1.7.3)
Requirement already satisfied: numpy>=1.12 in c:\users\arn203\.julia\conda\3\lib\site-packages (from arviz) (1.19.2)
Requirement already satisfied: python-dateutil>=2.1 in c:\users\arn203\.julia\conda\3\lib\site-packages (from matplotlib>=3.0->arviz) (2.8.1)
Requirement already satisfied: pillow>=6.2.0 in c:\users\arn203\.julia\conda\3\lib\site-packages (from matplotlib>=3.0->arviz) (8.1.0)
Requirement already satisfied: cycler>=0.10 in c:\users\arn203\.julia\conda\3\lib\site-packages (from matplotlib>=3.0->arviz) (0.10.0)
Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\arn203\.julia\conda\3\lib\site-packages (from matplotlib>=3.0->arviz) (1.3.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in c:\users\arn203\.julia\conda\3\lib\site-packages (from matplotlib>=3.0->arviz) (2.4.7)
Requirement already satisfied: six in c:\users\arn203\.julia\conda\3\lib\site-packages (from cycler>=0.10->matplotlib>=3.0->arviz) (1.15.0)
Requirement already satisfied: pytz>=2017.3 in c:\users\arn203\.julia\conda\3\lib\site-packages (from pandas>=0.23->arviz) (2021.1)
Requirement already satisfied: cftime in c:\users\arn203\.julia\conda\3\lib\site-packages (from netcdf4->arviz) (1.4.1)
ERROR: LoadError: PyError (PyImport_ImportModule) <class 'FileNotFoundError'>
FileNotFoundError("Could not find module 'C:\\Users\\arn203\\.julia\\conda\\3\\lib\\site-packages\\scipy\\.libs\\libbanded5x.CBCBXIAYFUWOYCSBXUA2BT6W76FYX4C7.gfortran-win_amd64.dll' (or one of its dependencies). Try using the full path with constructor syntax.")
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\__init__.py", line 32, in <module>
from .data import *
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\data\__init__.py", line 2, in <module>
from .base import CoordSpec, DimSpec, dict_to_dataset, numpy_to_data_array
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\data\base.py", line 11, in <module>
import xarray as xr
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\__init__.py", line 3, in <module>
from . import testing, tutorial, ufuncs
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\testing.py", line 8, in <module>
from xarray.core import duck_array_ops, formatting, utils
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\core\duck_array_ops.py", line 16, in <module>
from . import dask_array_compat, dask_array_ops, dtypes, npcompat, nputils
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\core\dask_array_compat.py", line 8, in <module>
import dask.array as da
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\__init__.py", line 2, in <module>
from .blockwise import blockwise, atop
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\blockwise.py", line 288, in <module>
from .core import new_da_object
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\core.py", line 69, in <module>
from .chunk_types import is_valid_array_chunk, is_valid_chunk_type
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\chunk_types.py", line 130, in <module>
import scipy.sparse
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\__init__.py", line 136, in <module>
from . import _distributor_init
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\_distributor_init.py", line 59, in <module>
WinDLL(os.path.abspath(filename))
File "C:\Users\arn203\.julia\conda\3\lib\ctypes\__init__.py", line 381, in __init__
self._handle = _dlopen(self._name, mode)
Stacktrace:
[1] pyimport(name::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:550
[2] _import_dependency(modulename::String, pkgname::String; channel::String)
@ ArviZ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\setup.jl:129
[3] import_arviz()
@ ArviZ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\setup.jl:1
[4] top-level scope
@ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\ArviZ.jl:113
[5] include
@ .\Base.jl:418 [inlined]
[6] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt64}}, source::Nothing)
@ Base .\loading.jl:1318
[7] top-level scope
@ none:1
[8] eval
@ .\boot.jl:373 [inlined]
[9] eval(x::Expr)
@ Base.MainInclude .\client.jl:453
[10] top-level scope
@ none:1
in expression starting at C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\ArviZ.jl:2
caused by: PyError (PyImport_ImportModule) <class 'FileNotFoundError'>
FileNotFoundError("Could not find module 'C:\\Users\\arn203\\.julia\\conda\\3\\lib\\site-packages\\scipy\\.libs\\libbanded5x.CBCBXIAYFUWOYCSBXUA2BT6W76FYX4C7.gfortran-win_amd64.dll' (or one of its dependencies). Try using the full path with constructor syntax.")
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\__init__.py", line 32, in <module>
from .data import *
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\data\__init__.py", line 2, in <module>
from .base import CoordSpec, DimSpec, dict_to_dataset, numpy_to_data_array
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\data\base.py", line 11, in <module>
import xarray as xr
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\__init__.py", line 3, in <module>
from . import testing, tutorial, ufuncs
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\testing.py", line 8, in <module>
from xarray.core import duck_array_ops, formatting, utils
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\core\duck_array_ops.py", line 16, in <module>
from . import dask_array_compat, dask_array_ops, dtypes, npcompat, nputils
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\core\dask_array_compat.py", line 8, in <module>
import dask.array as da
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\__init__.py", line 2, in <module>
from .blockwise import blockwise, atop
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\blockwise.py", line 288, in <module>
from .core import new_da_object
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\core.py", line 69, in <module>
from .chunk_types import is_valid_array_chunk, is_valid_chunk_type
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\chunk_types.py", line 130, in <module>
import scipy.sparse
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\__init__.py", line 136, in <module>
from . import _distributor_init
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\_distributor_init.py", line 59, in <module>
WinDLL(os.path.abspath(filename))
File "C:\Users\arn203\.julia\conda\3\lib\ctypes\__init__.py", line 381, in __init__
self._handle = _dlopen(self._name, mode)
Stacktrace:
[1] pyimport(name::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:550
[2] pyimport_conda(modulename::String, condapkg::String, channel::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:714
[3] _import_dependency(modulename::String, pkgname::String; channel::String)
@ ArviZ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\setup.jl:123
[4] import_arviz()
@ ArviZ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\setup.jl:1
[5] top-level scope
@ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\ArviZ.jl:113
[6] include
@ .\Base.jl:418 [inlined]
[7] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt64}}, source::Nothing)
@ Base .\loading.jl:1318
[8] top-level scope
@ none:1
[9] eval
@ .\boot.jl:373 [inlined]
[10] eval(x::Expr)
@ Base.MainInclude .\client.jl:453
[11] top-level scope
@ none:1
caused by: PyError (PyImport_ImportModule) <class 'FileNotFoundError'>
FileNotFoundError("Could not find module 'C:\\Users\\arn203\\.julia\\conda\\3\\lib\\site-packages\\scipy\\.libs\\libbanded5x.CBCBXIAYFUWOYCSBXUA2BT6W76FYX4C7.gfortran-win_amd64.dll' (or one of its dependencies). Try using the full path with constructor syntax.")
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\__init__.py", line 32, in <module>
from .data import *
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\data\__init__.py", line 2, in <module>
from .base import CoordSpec, DimSpec, dict_to_dataset, numpy_to_data_array
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\arviz\data\base.py", line 11, in <module>
import xarray as xr
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\__init__.py", line 3, in <module>
from . import testing, tutorial, ufuncs
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\testing.py", line 8, in <module>
from xarray.core import duck_array_ops, formatting, utils
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\core\duck_array_ops.py", line 16, in <module>
from . import dask_array_compat, dask_array_ops, dtypes, npcompat, nputils
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\xarray\core\dask_array_compat.py", line 8, in <module>
import dask.array as da
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\__init__.py", line 2, in <module>
from .blockwise import blockwise, atop
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\blockwise.py", line 288, in <module>
from .core import new_da_object
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\core.py", line 69, in <module>
from .chunk_types import is_valid_array_chunk, is_valid_chunk_type
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\dask\array\chunk_types.py", line 130, in <module>
import scipy.sparse
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\__init__.py", line 136, in <module>
from . import _distributor_init
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\_distributor_init.py", line 59, in <module>
WinDLL(os.path.abspath(filename))
File "C:\Users\arn203\.julia\conda\3\lib\ctypes\__init__.py", line 381, in __init__
self._handle = _dlopen(self._name, mode)
Stacktrace:
[1] pyimport(name::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:550
[2] pyimport_conda(modulename::String, condapkg::String, channel::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:708
[3] _import_dependency(modulename::String, pkgname::String; channel::String)
@ ArviZ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\setup.jl:123
[4] import_arviz()
@ ArviZ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\setup.jl:1
[5] top-level scope
@ C:\Users\arn203\.julia\packages\ArviZ\hisNy\src\ArviZ.jl:113
[6] include
@ .\Base.jl:418 [inlined]
[7] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt64}}, source::Nothing)
@ Base .\loading.jl:1318
[8] top-level scope
@ none:1
[9] eval
@ .\boot.jl:373 [inlined]
[10] eval(x::Expr)
@ Base.MainInclude .\client.jl:453
[11] top-level scope
@ none:1
ERROR: Failed to precompile ArviZ [131c737c-5715-5e2e-ad31-c244f01c1dc7] to C:\Users\arn203\.julia\compiled\v1.7\ArviZ\jl_67B1.tmp.
Stacktrace:
[1] error(s::String)
@ Base .\error.jl:33
[2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, ignore_loaded_modules::Bool)
@ Base .\loading.jl:1466
[3] compilecache(pkg::Base.PkgId, path::String)
@ Base .\loading.jl:1410
[4] _require(pkg::Base.PkgId)
@ Base .\loading.jl:1120
[5] require(uuidkey::Base.PkgId)
@ Base .\loading.jl:1013
[6] require(into::Module, mod::Symbol)
@ Base .\loading.jl:997
julia>
I was using ArviZ successfully a month or 2 ago. My laptop has updated since then. Is that likely to be linked to the cause?
Thanks
I wonder if this is related to the workaround for #188 implemented in #202. I hadn't tested that workaround on Windows.
Does the following work for you?
] add ArviZ#70735a9
Unfortunately not. I get the same error.
the file C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\.libs\libbanded5x.CBCBXIAYFUWOYCSBXUA2BT6W76FYX4C7.gfortran-win_amd64.dll
is definitely there also.
Hrm. Okay, if you don't mind, could you try a few more things?
Assuming your PyCall is configured to use Julia's Conda, try
using Conda, PyCall
Conda.pip_interop(true)
Conda.pip("uninstall -y", "scipy")
pyimport_conda("scipy", "scipy", "conda-forge")
What happens? If the error is the same, I have no clue what's going on. If it errors with the scipy.fft error in https://github.com/JuliaPy/PyCall.jl/issues/990, then you can try
$ LD_PRELOAD=$HOME/.julia/conda/3/lib/libstdc++.so julia
or whatever the Windows version of this is. If pyimport_conda doesn't error, can you try
] add ArviZ#70735a9
again?
Unfortunately not. I'm now getting the same error , but on this line
julia> pyimport_conda("scipy", "scipy", "conda-forge")
[ Info: Installing scipy via the Conda scipy package...
[ Info: Running `conda config --add channels conda-forge --file 'C:\Users\arn203\.julia\conda\3\condarc-julia.yml' --force` in root environment
Warning: 'conda-forge' already in 'channels' list, moving to the top
[ Info: Running `conda install -y scipy` in root environment
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\arn203\.julia\conda\3
added / updated specs:
- scipy
The following packages will be SUPERSEDED by a higher-priority channel:
scipy pypi/pypi::scipy-1.7.3-pypi_0 --> conda-forge/win-64::scipy-1.7.3-py38ha1292f7_0
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
ERROR: PyError (PyImport_ImportModule) <class 'FileNotFoundError'>
FileNotFoundError("Could not find module 'C:\\Users\\arn203\\.julia\\conda\\3\\lib\\site-packages\\scipy\\.libs\\libbanded5x.CBCBXIAYFUWOYCSBXUA2BT6W76FYX4C7.gfortran-win_amd64.dll' (or one of its dependencies). Try
using the full path with constructor syntax.")
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\__init__.py", line 136, in <module>
from . import _distributor_init
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\_distributor_init.py", line 59, in <module>
WinDLL(os.path.abspath(filename))
File "C:\Users\arn203\.julia\conda\3\lib\ctypes\__init__.py", line 381, in __init__
self._handle = _dlopen(self._name, mode)
Stacktrace:
[1] pyimport(name::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:550
[2] pyimport_conda(modulename::String, condapkg::String, channel::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:714
[3] top-level scope
@ REPL[8]:1
caused by: PyError (PyImport_ImportModule) <class 'FileNotFoundError'>
FileNotFoundError("Could not find module 'C:\\Users\\arn203\\.julia\\conda\\3\\lib\\site-packages\\scipy\\.libs\\libbanded5x.CBCBXIAYFUWOYCSBXUA2BT6W76FYX4C7.gfortran-win_amd64.dll' (or one of its dependencies). Try using the full path with constructor syntax.")
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\__init__.py", line 136, in <module>
from . import _distributor_init
File "C:\Users\arn203\.julia\conda\3\lib\site-packages\scipy\_distributor_init.py", line 59, in <module>
WinDLL(os.path.abspath(filename))
File "C:\Users\arn203\.julia\conda\3\lib\ctypes\__init__.py", line 381, in __init__
self._handle = _dlopen(self._name, mode)
Stacktrace:
[1] pyimport(name::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:550
[2] pyimport_conda(modulename::String, condapkg::String, channel::String)
@ PyCall C:\Users\arn203\.julia\packages\PyCall\7a7w0\src\PyCall.jl:708
[3] top-level scope
@ REPL[8]:1
It's the same file FileNotFoundError("Could not find module 'C:\\Users\\arn203\\.julia\\conda\\3\\lib\\site-packages\\scipy\\.libs\\libbanded5x.CBCBXIAYFUWOYCSBXUA2BT6W76FYX4C7.gfortran-win_amd64.dll' (or one of its dependencies). that cannot be found (but does exist in that location). We can safely say this is not an arviz problem. More likely something to do with using an old uni issue laptop, with all its university standard configurations.
Hi @EvoArt we now explicitly test that ArviZ installs correctly on windows, so can you check if ArviZ v0.6.6 works for you?