I tried to install pylint with the pylint plugin in PyCharm.
I created a blank project in a venv.
I am using:
pylint 2.14.0
astroid 2.11.5
Python 3.10.4 (tags/v3.10.4:9d38120, Mar 23 2022, 23:13:41) [MSC v.1929 64 bit (AMD64)]
PyCharm 2022.1.2
I tried:
specifying the path of the exe explicitly in the plugin-setting (C:\git\pythonProject\venv\Scripts\pylint.exe)
different Python version (3.9.6)
different pylint version
new venv
reinstall pylint plugin
Re-installing PyCharm
Restart PC
I get the following Error, when i try to run -help in the console
> (venv) PS C:\git\pythonProject1> pylint -help
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
screenshot
Has anyone a clue? Thank you in advance
need to use
pip install pylint
then generate a pylintrc file like:
pylint --generate-rcfile > ~/.pylintrc
and move it into your projects folder
then find the path to pylint for example:
venv/bin/pylint
then go to preferences -> pylint in PyCharm and set the pylint executable to be that path and click test
Note i have found the SonarLint plugin easier to work with. I wasn't seeing a way to navigate from the lint error to the setting to turn off the link but i saw that with SonarLint
Related
Plotly figures are not rendered/displayed in jupyterlab. I therefore tried to install the extension jupyter labextension install #jupyter-widgets/jupyterlab-manager jupyterlab-plotly. Afterwards I was asked to run the jupyter lab build and this failed. I have no idea where the problem is.
Install info:
I installed a venv with pyenv running python 3.8.5.
jupyter --version
jupyter core : 4.7.1
jupyter-notebook : 6.4.0
qtconsole : not installed
ipython : 7.25.0
ipykernel : 6.0.3
jupyter client : 6.1.12
jupyter lab : 3.0.12
nbconvert : 6.1.0
ipywidgets : 7.6.3
nbformat : 5.1.3
traitlets : 5.0.5
npm --version
7.11.2
node --version
v16.1.0
I am restricted to use WSL1 because of company requirements.
I’ll post below the command outputs for
jupyter labextension list
jupyter lab build
cat /tmp/jupyterlab-debug-5vr2zquq.log
jupyter labextension install #jupyter-widgets/jupyterlab-manager --minimize=False
Any advice would be appreciated. I have no idea how to fix this.
Thanks
❯ jupyter labextension list
JupyterLab v3.0.16
/home/bebop/.local/share/jupyter/labextensions
#jupyter-widgets/jupyterlab-manager v3.0.0 enabled OK (python, jupyterlab_widgets)
/mnt/s/dokumente/Privat/neue_fische/ot/ot-sopra_steria/.venv/share/jupyter/labextensions
jupyterlab-plotly v5.1.0 enabled OK
Other labextensions (built into JupyterLab)
app dir: /mnt/s/dokumente/Privat/neue_fische/ot/ot-sopra_steria/.venv/share/jupyter/lab
plotlywidget v4.14.3 enabled OK
Build recommended, please run jupyter lab build:
plotlywidget needs to be included in build
❯ jupyter lab build
[LabBuildApp] JupyterLab 3.0.16
[LabBuildApp] Building in /mnt/s/dokumente/Privat/path/.venv/share/jupyter/lab
[LabBuildApp] Building jupyterlab assets (production, minimized)
Build failed.
Troubleshooting: If the build failed due to an out-of-memory error, you
may be able to fix it by disabling the dev_build and/or minimize options.
If you are building via the jupyter lab build command, you can disable
these options like so:
jupyter lab build --dev-build=False --minimize=False
You can also disable these options for all JupyterLab builds by adding these
lines to a Jupyter config file named jupyter_config.py:
c.LabBuildApp.minimize = False
c.LabBuildApp.dev_build = False
If you don’t already have a jupyter_config.py file, you can create one by
adding a blank file of that name to any of the Jupyter config directories.
The config directories can be listed by running:
jupyter --paths
Explanation:
dev-build: This option controls whether a dev or a more streamlined
production build is used. This option will default to False (i.e., the
production build) for most users. However, if you have any labextensions
installed from local files, this option will instead default to True.
Explicitly setting dev-build to False will ensure that the production
build is used in all circumstances.
minimize: This option controls whether your JS bundle is minified
during the Webpack build, which helps to improve JupyterLab’s overall
performance. However, the minifier plugin used by Webpack is very memory
intensive, so turning it off may help the build finish successfully in
low-memory environments.
An error occured.
shutil.Error: [(’/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/staging/templates’, ‘/mnt/s/dokumente/Privat/path/.venv/share/jupyter/lab/staging/templates’, “[Errno 13] Permission denied: ‘/mnt/s/dokumente/Privat/path/.venv/share/jupyter/lab/staging/templates’”)]
See the log file for details: /tmp/jupyterlab-debug-5vr2zquq.log
❯ cat /tmp/jupyterlab-debug-5vr2zquq.log
[LabBuildApp] Building in /mnt/s/dokumente/Privat/path/.venv/share/jupyter/lab
[LabBuildApp] Node v16.1.0
[LabBuildApp] Yarn configuration loaded.
[LabBuildApp] Building jupyterlab assets (production, minimized)
[LabBuildApp] Traceback (most recent call last):
[LabBuildApp] File “/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/debuglog.py”, line 47, in debug_logging
yield
[LabBuildApp] File “/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/labapp.py”, line 166, in start
raise e
[LabBuildApp] File “/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/labapp.py”, line 162, in start
build(name=self.name, version=self.version,
[LabBuildApp] File “/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/commands.py”, line 469, in build
return handler.build(name=name, version=version, static_url=static_url,
[LabBuildApp] File “/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/commands.py”, line 657, in build
self._populate_staging(
[LabBuildApp] File “/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/commands.py”, line 1180, in _populate_staging
shutil.copytree(pjoin(HERE, ‘staging’, ‘templates’), templates)
[LabBuildApp] File “/home/bebop/.pyenv/versions/3.8.5/lib/python3.8/shutil.py”, line 554, in copytree
return _copytree(entries=entries, src=src, dst=dst, symlinks=symlinks,
[LabBuildApp] File “/home/bebop/.pyenv/versions/3.8.5/lib/python3.8/shutil.py”, line 510, in _copytree
raise Error(errors)
[LabBuildApp] shutil.Error: [(’/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/staging/templates’, ‘/mnt/s/dokumente/Privatpath/.venv/share/jupyter/lab/staging/templates’, “[Errno 13] Permission denied: ‘/mnt/s/dokumente/Privat/path/.venv/share/jupyter/lab/staging/templates’”)]
[LabBuildApp] Exiting application: JupyterLab
❯ jupyter labextension install #jupyter-widgets/jupyterlab-manager --minimize=False
Building jupyterlab assets (production, not minimized)
An error occured.
shutil.Error: [(’/mnt/s/dokumente/Privat/path/.venv/lib/python3.8/site-packages/jupyterlab/staging/templates’, ‘/mnt/s/dokumente/path/.venv/share/jupyter/lab/staging/templates’, “[Errno 13] Permission denied: ‘/mnt/s/dokumente/Privat/path/.venv/share/jupyter/lab/staging/templates’”)]
You should not need to install the extension from source. JupyterLab 3.0 introduced prebuilt extensions system that allows users to install extensions from pip (and conda) without the need for the build step making all the trouble of troubleshooting failed builds disappear. It seems that you used an old set of instructions for installing plotly, as plotly 5.0+ supports prebuilt extensions for JupyterLab. First uninstall the source extensions that you just installed (non of those are needed):
jupyter labextension uninstall #jupyter-widgets/jupyterlab-manager jupyterlab-plotly plotlywidget
Optional: verify list of extensions with:
jupyter labextension list
Then install a new plotly version with pip or conda:
pip install "plotly>=5" "ipywidgets>=7.6"
# or, if using conda:
# conda install -c conda "plotly>=5"
# conda install "ipywidgets>=7.6"
Both widget and renderer are included, so no need to install plotlywidget separately.
Check list of extensions again:
jupyter labextension list
You should now see lines with:
jupyterlab-plotly v5.1.0 enabled OK
#jupyter-widgets/jupyterlab-manager v3.0.0 enabled OK (python, jupyterlab_widgets)
(the version may be newer in the future of course).
I want to install PyMesh on a Windows 10 PC, if possible it should be installed in the side-packages of an interpreter delivered with the IDE we use.
I tried the way to run the setup discribed here
https://pymesh.readthedocs.io/en/latest/installation.html
so the part :
git clone https://github.com/PyMesh/PyMesh.git
cd PyMesh
git submodule update --init
worked without any problems.
I am not sure on windows if I now just can write
set PYMESH_PATH = path
and if i can use the path "...\PyMesh\PyMesh" here?
so i left out this part
I installed numpy and scipy (allready installed)
and nose because it is mentioned in the requirements.txt.
So my numpy scipy and nose versions are
numpy 1.19.1
scipy 1.6.0
nose 1.3.7 (same as requirenments)
and just run the setup.py with admin rights
python .\setup.py install
which also seemed to work but i got an error trying
python -c "import pymesh; pymesh.test()"
from the PyMesh folder
saying ModuleNotFoundError: No module named 'PyMesh'
or if i go up one Folder doing the same
saying AttributeError: module 'PyMesh' has no attribute 'triangle'
I found this link ImportError: No module named PyMesh
but i just dont know what i should type in there
I tried to install via pip by using pip install pymesh
but pip Installer gives me a different library.
So i tried in the docker version and in docker i tried the pymesh.load_mesh method with an stl File
but got
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape
I dont know if this is just the stl format (expecting binary getting ascii or vice versa)
The stl file itself can be opened so shouldnt be corrupted.
So is there a different way to install pymesh? A wheel would be great. Is it possible to install pymesh to the side-packages of a given Interpreter? Did someone else allready had the same error in Docker and knows the issue
thank you for your help
I'm trying to install the package "Tax4Fun" but keep failing.
I've tried 2 different ways:
install.packages("devtools")
devtools::install_url("http://tax4fun.gobics.de/Tax4Fun/Tax4Fun_0.3.1.tar.gz")
library(Tax4Fun)
The error that I get is:
ERROR: dependency 'biom' is not available for package 'Tax4Fun'
I've also tried installing biom directly
BiocManager::install("biom")
which does not work either
Bioconductor version 3.10 (BiocManager 1.30.10), R 3.6.1 (2019-07-05)
Installing package(s) 'biom'
Installation path not writeable, unable to update packages: boot, foreign, KernSmooth,
mgcv, nlme, survival
Warning message:
package ‘biom’ is not available (for R version 3.6.1)
The other way I've tried to install Tax4Fun directly is
BiocManager::install("Tax4Fun")
I get the following error code:
Bioconductor version 3.10 (BiocManager 1.30.10), R 3.6.1 (2019-07-05)
Installing package(s) 'Tax4Fun'
Installation path not writeable, unable to update packages: boot, foreign, KernSmooth,
mgcv, nlme, survival
Warning message:
package ‘Tax4Fun’ is not available (for R version 3.6.1)
Please help :)
You need to install it by downloading the packages from source (http://tax4fun.gobics.de). Then it depends whether you are running on Linux/Mac or Windows.
From the command line, you navigate to the folder containing the .tar.gz downloaded package. Then you should install it using:
R CMD INSTALL Tax4Fun_0.3.1.tar.gz
But dependancies are not installed by default. So you need to install dependancies manually, Qiimer and Biom, which are both deprecated on Cran. You install them using the same command, after you have downloaded the packages from the Cran archives.
Before that, you need to also install their dependancies in R:
install.packages("pheatmap")
install.packages("RJSONIO")
Then you should be able to proceed as mentioned above: install Qiimer and Biom from the command line first. Then Tax4Fun from the command line too.
If you are running on Windows you should have quite the same issues, but the installation of the different packages and dependancies is different. You can have a look at the readme at http://tax4fun.gobics.de
I can't use cabal with the latest Haskell Platform (2014.2.0.0). I've tried uninstalling, removing all folders from PATH and deleting cabal's library directory, and still no luck
When I run cabal from the command line in the GitBash MINGW32 shell I get the following error:
cabal.exe init
cabal.exe: The program ghc version =6.4 is required but it could not be
found.
(cabal configure, cabal install, etc. all give the same error, except cabal --version)
Now, when I execute cabal from the windows cmd, it runs fine, but when I try to do a cabal init, I get the following:
>cabal init
Package name? [default: toyrsa]
Package version? [default: 0.1.0.0]
Please choose a license:
* 1) (none)
2) GPL-2
3) GPL-3
4) LGPL-2.1
5) LGPL-3
6) AGPL-3
7) BSD3
8) MIT
9) Apache-2.0
10) PublicDomain
11) AllRightsReserved
12) Other (specify)
Your choice? [default: (none)] 3
cabal: git: does not exist
Choosing the default or other options produces the same result. Upgrading to Cabal 1.20 does not help either.
This bug was documented here: https://github.com/haskell/cabal/issues/1613 and that issue claims that it was fixed in the 1.20 series. If you're using 1.20 and still running into it (and sure you're running 1.20 and not an older binary on your path) then you definitely should report it there and reopen the ticket.
Running cabal init from the cmd can be made to work by adding git to the PATH variable. The error at step 3 disappears then. Still seems pretty weird that I need git to create a configuration file for an empty local project with no dependencies.
I am attempting to install M2Crypto on a Windows XP platform. I have Python, easy_install and SWIG installed, but when I attempt to easy_install M2Crypto I get the following:
SWIG\_m2crypto.i(31) : Error: Unable to find 'openssl\opensslv.h'
SWIG\_m2crypto.i(45) : Error: Unable to find 'openssl\safestack.h'
SWIG\_evp.i(12) : Error: Unable to find 'openssl\opensslconf.h'
SWIG\_ec.i(7) : Error: Unable to find 'openssl\opensslconf.h'
error: Setup script exited with error: command 'swig.exe' failed with exit status 1
I have read elsewhere that people have suggested easy_install openssl-devel, but that simply tells me that there are no packages found with that name. Is the name perhaps case-sensitive (I've tried various permutations without success), or does that advice not apply to Windows?
I'm not looking for alternatives to M2Crypto. I am picking up some existing code that uses it, so I need to get my development environment to be able to run what's already written.
As jay stated in his answer you should try to build it from source. And I tried. The setup.py does not recognize the --openssl option. Looking at the output from the default setup.py I realized that the search location was c:\pkg and not c:\pkg\openssl.
The solution:
Download and install OpenSSL from Win32 OpenSSL
Copy the lib and include folders to c:\pkg
Check that swig.exe is available in your path
Run easy_install M2Crypto
Worked for me like a charm.
Had a similar problem. After downloading the source package of M2Crypto and reading the INSTALL file I found the following:
Differences when installing on Windows
--------------------------------------
Before building from source, you need to install OpenSSL's include files,
import libraries and DLLs. By default setup.py assumes that OpenSSL include
files are in ``c:\pkg\openssl\include``, and the import libraries
in ``c:\pkg\openssl\lib``. As with other platforms, you can specify a different
OpenSSL location with --openssl option to build_ext command.