The github repo for the Spyder IDE Unittest Plugin lists only 2 options for installing the plugin: using the conda spyder-ide channel, as well as pip.
I have been able to install the plugin using the conda forge channel, as indicated in here.
Does it make a difference which channel is used to install the plugin ?
Short answer: no it shouldn't make a difference.
Longer answer: before pressing y at the Proceed ([y]/n? prompt you may want to check which versions of any dependencies are going to be installed, and which channels they will be installed from - especially if you are installing into an existing environment where you may want to upgrade other packages later. If you're happy for your environment to become dependent on packages from conda-forge, there's no issue with using the conda-forge package; otherwise (unless someone more knowledgeable can correct me) I would try and stick to the spyder-ide channel package.
This article on the conda-forge website says
The conda-forge and defaults are not 100% compatible. (...) that
mismatch can lead to errors when the install environment is mixing
packages from multiple channels.
For a longer discussion see the answers to this question.
As always, this advice from the conda-forge page is worth following:
we recommend always installing your packages inside a new environment
instead of the base environment from anaconda/miniconda. Using envs
make it easier to debug problems with packages and ensure the
stability of your root env.
Related
How to install tclsh on windows 10 ?
I am not well versed on Linux/Unix packages but there is a check list I am having to follow for a tutorial on how to do ATAK plug-in development on the Android Development Studio.
The prerequisite stepms include installing and/or downloading tclsh.
I understand that tclsh is a shell program. I think it runs Tcl commands. I found this on stack overflow:
How to install packages in Tcl? which is responses to the question, “How to install packages in Tcl?”. Is this the same thing? Is tclsh part of Tcl?
I don't think so because one of the answers to this post is:
“Yes, there are some directories. To list them, execute tclsh ...”
So this post implies that telsh is already on the system.
There are other posts on stackoverflow which mention tclsh but they all in the context of the anser and mentioned in a way that it is part of a soluton such that it is already installed.
How to install tclsh on windows 10 ?
I just downloaded Spyder IDE for my programming class. I had been using Replit for two months, so I figured this is high time I switched to Spyder.
The console shows this message:
"This version of python seems to be incorrectly compiled
(internal generated filenames are not absolute).
This may make the debugger miss breakpoints.
Related bug: http://bugs.python.org/issue1666807"
NOTE: I had installed Python a year ago using Atom, but then today, before installing Spyder, I deleted Python and all files related to it. Then, I downloaded latest version of Python from Python's website (3.10.1).
I tried to find a work around for this by going to preferences, Python interpreter, and selecting the interpreter I downloaded, which is named Python IDLE. But, every time I try selecting that, it says invalid file path (/Applications/Python 3.10/IDL
I tried looking this up, but I cannot find something that is beginner-friendly. Can someone help me understand what is causing this?
I tried to add conda-forge as prioritized channel, and I created new environment to install python and spyder-kernel again.
conda config --add channels conda-forge
conda config --set channel_priority strict
conda install
https://conda-forge.org/#about
I was thinking about clear my default 'base' environment, but that does not work well. Thus, I had to create new environment.
conda create --name myenv
https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands
After that I have to indicate new Python Interpreter on 'Preferences - Python Interpreter - Use the following Python Interpreter'.
Then, it works for now, but I have to install additional packages for my convenience later.
In conclusion, I can have Spyder application running through Rosetta 2 with Python Interpreter for Apple Silicon.
Python 3.10.2 | packaged by conda-forge | (main, Jan 14 2022, 08:04:21) [Clang 11.1.0 ]
Type "copyright", "credits" or "license" for more information.
IPython 8.0.1 -- An enhanced Interactive Python.
My answer might be so rough, so please let me know how can I improve.
Can anyone provide a detailed procedure for installing MRPT on Fedora 33 Scientific (one of the Fedora Labs which has a KDE interface)? The MRPT installation instructions for Ubuntu mentions something about cmake/cmake-gui. Checking the man pages, F33Sci has no such thing. It must be possible to accomplish this somehow, because Fedora Robotics Lab includes MRPT. I've already tried "$sudo dnf install mrpt", resulting in "Error: Unable to find a match: mrpt". However, "$dnf search mrpt" results in a bunch of items from mrpt-base... to mrpt-stereo-camera-calibration.
The version of MRPT that ships with Fedora is really outdated, so you do well in building from sources.
cmake-gui is not 100% required, it is only mentioned in the instructions to make things easier to those preferring GUIs, but you should be able to compile using the console commands here (that is, the standard workflow with cmake).
Next, the CMake configuration process will warn you about missing libraries. Most are optional, but at least make sure of installing eigen3, opencv and wxwidgets. Those should be installed with the standard commands used in Fedora...
I know how to install LLVM/Clang/libc++ 3.8 on Travis CI, through the whitelisted llvm-toolchain-trusty-3.8, but this doesn't exist (or work) for 3.9.
Note the thing I need is libc++experimental.a, which contains the implementation of std::experimental::filesystem for libc++.
I really find the Travis-CI way of doing things kind of inflexible, so if there is a wholly alternative way of getting specific versions of things installed on a build machine, please enlighten me and free me from these stupid limitations. I also don't want to build every single toolchain dependency on Travis, that would be overkill.
The best way to get new libc++ in Travis-CI is to build it from source after installing LLVM/Clang.
Here is the script I wrote to download, build and install libc++ for Travis, and here is an example usage in Google Benchmarks .travis.yml. The script takes about 120 seconds to complete.
PS. I'm happy to see people using libc++'s std::experimental::filesystem :-)
You can install packages with apt addon into your container-based image.
Add next lines to your .travis.yml
addons:
apt:
sources:
- llvm-toolchain-trusty-3.9
packages:
- clang-3.9
- libc++-dev
- libc++abi-dev
Side note: At the moment you have posted your question llvm-toolchain-trusty-3.9 were whitelisted
I have a Rails project that is going to be using OpenCV, and it depends on a certain version of it (2.4.6.1).
I'm looking for deployment advice. The Ubuntu opencv package is an earlier version and therefore not suitable.
I can see a number of possibilities, but I'm trying to think of what will work best.
Just write it up in a README and expect people to follow it: download this, apt-get that, etc...
Add opencv, tagged at the version we need, as a git subtree, and include a Rake task to build it.
Write a script to download and compile the needed code.
Something else ?
None of them seem all that great, to tell the truth.
Can your application be made to work with OpenCV 2.4.2? That is available in Ubuntu 13.04, and you could request it be backported to 12.04. If not, you could update the source package to 2.4.6.1 (which would require learning about debian packaging but might not be too difficult since you would be modifying an existing package instead of starting from scratch), upload it to a PPA, and instruct your users on Ubuntu to install OpenCV from there. You could also package your rails application and put it in the PPA, which would make overall installation even easier.