ipyvolume: Windows installation looks broken
Step to reproduce (on Windows 10):
-
Install a fresh Miniconda from https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe
-
Open the Anaconda prompt:
$ conda info
active environment : base
active env location : C:\Users\hadim\Miniconda3
shell level : 1
user config file : C:\Users\hadim\.condarc
populated config files : C:\Users\hadim\.condarc
conda version : 4.5.11
conda-build version : not installed
python version : 3.7.0.final.0
base environment : C:\Users\hadim\Miniconda3 (writable)
channel URLs : https://conda.anaconda.org/conda-forge/win-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/win-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/win-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/win-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/win-64
https://repo.anaconda.com/pkgs/pro/noarch
https://repo.anaconda.com/pkgs/msys2/win-64
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : C:\Users\hadim\Miniconda3\pkgs
C:\Users\hadim\AppData\Local\conda\conda\pkgs
envs directories : C:\Users\hadim\Miniconda3\envs
C:\Users\hadim\AppData\Local\conda\conda\envs
C:\Users\hadim\.conda\envs
platform : win-64
user-agent : conda/4.5.11 requests/2.19.1 CPython/3.7.0 Windows/10 Windows/10.0.17134
administrator : False
netrc file : None
offline mode : False
conda config --add channels conda-forge
conda create -n test python
conda activate test
conda install ipyvolume
The error:
Solving environment: done
## Package Plan ##
environment location: C:\Users\hadim\Miniconda3\envs\test
added / updated specs:
- ipyvolume
The following packages will be downloaded:
package | build
---------------------------|-----------------
libpng-1.6.34 | vc14_0 547 KB conda-forge
matplotlib-2.2.3 | py37h31860fd_0 6.5 MB conda-forge
------------------------------------------------------------
Total: 7.0 MB
The following NEW packages will be INSTALLED:
asn1crypto: 0.24.0-py37_1003 conda-forge
attrs: 18.2.0-py_0 conda-forge
backcall: 0.1.0-py_0 conda-forge
blas: 1.0-mkl
bleach: 3.0.2-py_0 conda-forge
ca-certificates: 2018.10.15-ha4d7672_0 conda-forge
cffi: 1.11.5-py37hfa6e2cd_1001 conda-forge
chardet: 3.0.4-py37_1003 conda-forge
cloudpickle: 0.6.1-py_0 conda-forge
colorama: 0.4.0-py_0 conda-forge
cryptography: 2.3-py37h74b6da3_0 conda-forge
cryptography-vectors: 2.3.1-py37_1000 conda-forge
cycler: 0.10.0-py_1 conda-forge
cytoolz: 0.9.0.1-py37hfa6e2cd_1001 conda-forge
dask-core: 0.20.2-py_0 conda-forge
decorator: 4.3.0-py_0 conda-forge
entrypoints: 0.2.3-py37_1002 conda-forge
freetype: 2.9.1-he8b6a0d_1004 conda-forge
icc_rt: 2017.0.4-h97af966_0
icu: 58.2-vc14_0 conda-forge [vc14]
idna: 2.7-py37_1002 conda-forge
imageio: 2.4.1-py37_1000 conda-forge
intel-openmp: 2019.1-144
ipydatawidgets: 4.0.0-py_0 conda-forge
ipykernel: 5.1.0-py37h39e3cac_1001 conda-forge
ipyscales: 0.3.0-py_0 conda-forge
ipython: 7.1.1-py37h39e3cac_1000 conda-forge
ipython_genutils: 0.2.0-py_1 conda-forge
ipyvolume: 0.5.1-py37_1000 conda-forge
ipywebrtc: 0.4.2-py37_1000 conda-forge
ipywidgets: 7.4.2-py_0 conda-forge
jedi: 0.13.1-py37_1000 conda-forge
jinja2: 2.10-py_1 conda-forge
jpeg: 9b-vc14_2 conda-forge [vc14]
jsonschema: 3.0.0a3-py37_1000 conda-forge
jupyter_client: 5.2.3-py_1 conda-forge
jupyter_core: 4.4.0-py_0 conda-forge
kiwisolver: 1.0.1-py37he980bc4_1002 conda-forge
libpng: 1.6.34-vc14_0 conda-forge [vc14]
libsodium: 1.0.16-vc14_0 conda-forge [vc14]
libtiff: 4.0.9-vc14_0 conda-forge [vc14]
m2w64-gcc-libgfortran: 5.3.0-6
m2w64-gcc-libs: 5.3.0-7
m2w64-gcc-libs-core: 5.3.0-7
m2w64-gmp: 6.1.0-2
m2w64-libwinpthread-git: 5.0.0.4634.697f757-2
markupsafe: 1.1.0-py37hfa6e2cd_1000 conda-forge
matplotlib: 2.2.3-py37h31860fd_0 conda-forge
mistune: 0.8.4-py37hfa6e2cd_1000 conda-forge
mkl: 2018.0.3-1
mkl_fft: 1.0.6-py37hdbbee80_0
mkl_random: 1.0.1-py37h77b88f5_1
msys2-conda-epoch: 20160418-1
nbconvert: 5.3.1-py_1 conda-forge
nbformat: 4.4.0-py_1 conda-forge
networkx: 2.2-py_1 conda-forge
notebook: 5.7.2-py37_1000 conda-forge
numpy: 1.15.4-py37ha559c80_0
numpy-base: 1.15.4-py37h8128ebf_0
olefile: 0.46-py_0 conda-forge
openssl: 1.0.2o-vc14_0 conda-forge [vc14]
pandoc: 2.3.1-0 conda-forge
pandocfilters: 1.4.2-py_1 conda-forge
parso: 0.3.1-py_0 conda-forge
pickleshare: 0.7.5-py37_1000 conda-forge
pillow: 5.2.0-py37h08bbbbd_0
prometheus_client: 0.4.2-py_0 conda-forge
prompt_toolkit: 2.0.7-py_0 conda-forge
pycparser: 2.19-py_0 conda-forge
pygments: 2.2.0-py_1 conda-forge
pyopenssl: 18.0.0-py37_1000 conda-forge
pyparsing: 2.3.0-py_0 conda-forge
pyqt: 5.6.0-py37h764d66f_7 conda-forge
pyrsistent: 0.14.7-py37hfa6e2cd_1000 conda-forge
pysocks: 1.6.8-py37_1002 conda-forge
python-dateutil: 2.7.5-py_0 conda-forge
pythreejs: 2.0.2-py37_1000 conda-forge
pytz: 2018.7-py_0 conda-forge
pywavelets: 1.0.1-py37h452e1ab_1000 conda-forge
pywinpty: 0.5.4-py37_1002 conda-forge
pyzmq: 17.1.2-py37hf576995_1001 conda-forge
qt: 5.6.2-vc14_1 conda-forge [vc14]
requests: 2.20.1-py37_1000 conda-forge
scikit-image: 0.14.1-py37h6538335_1001 conda-forge
scipy: 1.1.0-py37h4f6bf74_1
send2trash: 1.5.0-py_0 conda-forge
sip: 4.18.1-py37h6538335_0 conda-forge
six: 1.11.0-py37_1001 conda-forge
terminado: 0.8.1-py37_1001 conda-forge
testpath: 0.4.2-py37_1000 conda-forge
tk: 8.6.8-vc14_0 conda-forge [vc14]
toolz: 0.9.0-py_1 conda-forge
tornado: 5.1.1-py37hfa6e2cd_1000 conda-forge
traitlets: 4.3.2-py37_1000 conda-forge
traittypes: 0.2.1-py_1 conda-forge
urllib3: 1.23-py37_1001 conda-forge
wcwidth: 0.1.7-py_1 conda-forge
webencodings: 0.5.1-py_1 conda-forge
widgetsnbextension: 3.4.2-py37_1000 conda-forge
win_inet_pton: 1.0.1-py37_1002 conda-forge
winpty: 0.4.3-4 conda-forge
zeromq: 4.2.5-vc14_2 conda-forge [vc14]
zlib: 1.2.11-vc14_0 conda-forge [vc14]
Proceed ([y]/n)? y
Downloading and Extracting Packages
libpng-1.6.34 | 547 KB | ############################################################################ | 100%
matplotlib-2.2.3 | 6.5 MB | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: - Enabling notebook extension jupyter-js-widgets/extension...
- Validating: ok
| Enabling notebook extension jupyter-threejs/extension...
- Validating: ok
failed
ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::ipyvolume-0.5.1-py37_1000'.
LinkError: post-link script failed for package conda-forge::ipyvolume-0.5.1-py37_1000
running your command again with `-v` will provide additional information
location of failed script: C:\Users\hadim\Miniconda3\envs\test\Scripts\.ipyvolume-post-link.bat
==> script messages <==
<None>
Attempting to roll back.
Rolling back transaction: done
LinkError: post-link script failed for package conda-forge::ipyvolume-0.5.1-py37_1000
running your command again with `-v` will provide additional information
location of failed script: C:\Users\hadim\Miniconda3\envs\test\Scripts\.ipyvolume-post-link.bat
==> script messages <==
<None>
I also attach the dump of conda install -v ipyvolume whcih contains a more detailed output: ipyvolume.txt
I feel like the issue could be related to https://github.com/maartenbreddels/ipyvolume/issues/93.
Last thing: ipyvolume don’t want to install with matplolib >=3 but only with 2.2. I don’t know if it’s related to this bug. I can open a new issue if needed.
About this issue
- Original URL
- State: closed
- Created 6 years ago
- Comments: 16 (3 by maintainers)
Thanks wizard 😉
He is clearly a wizard 😄
I’ll try to install it locally and see if I can reproduce it.
wrong pillow dependency was also the cullprit in #93 so makes sense.