xeus | Decentralized data sharing manager | File Sharing library

by omnius-labs C# Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | xeus Summary

xeus is a C# library typically used in Web Site, File Sharing applications. xeus has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Decentralized data sharing manager (work in progress)

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Quality

Security

License

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Support

xeus has a low active ecosystem.

It has 17 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 7 have been closed. On average issues are closed in 41 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xeus is current.

Quality

xeus has no bugs reported.

Security

xeus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

xeus is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

xeus releases are not available. You will need to build from source code and install.

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xeus Key Features

No Key Features are available at this moment for xeus.

xeus Examples and Code Snippets

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Community Discussions

Trending Discussions on xeus

What is the difference between xeus-python and ipython?

Running C++ Jupiter Notebook in VSCode Insiders

How to: Extend C++14 template function to variadic template, arguments

Strange file permission in docker container (question marks on permission bit and user bit)

Jupyter Lab and Notebook Problem: Kernel Error

a black arrow in front of the cell in jupyter

Jupyter kernel for C++ on mac

xeus-cling install fails in Anaconda

QUESTION

What is the difference between xeus-python and ipython?

Asked 2021-Apr-13 at 21:42

JupyterLab 3.0 comes with a full-fledged visual debugger. But using it is only posssible if you're running a xeus-python kernel. Other sources report that there are a few differences between xeus-python and ipython, but that the list of features that differ between the two is growing shorter. So that's not really what I'm asking for here. Rather, what is it that distinguishes xeus-python from ipython that makes it suitable for a visual debugger as the one featured by JupyterLab 3.0?

...

ANSWER

Answered 2021-Apr-13 at 21:42

Rather, what is it that distinguishes xeus-python from ipython that makes it suitable for a visual debugger as the one featured by JupyterLab 3.0?

It's nothing particularly deep or interesting. Jupyter defines a debugger protocol that's a straightforward wrapper around the Debug Adapter Protocol. Kernels have to support this protocol to be usable with the JupyterLab debugger.

xeus-python supports this protocol. The IPython kernel does not. They're working on it; I think it's planned for IPython kernel 6.0 (not to be confused with IPython 6.0, which came out a while ago).

Source https://stackoverflow.com/questions/67082539

QUESTION

Running C++ Jupiter Notebook in VSCode Insiders

Asked 2021-Apr-08 at 21:16

I have installed xeus, xeus-cling and jupyter extension. I changed the kernel to one of the C++ versions, the cell language to C++ but when I click run the cell never outputs. Can someone please help me solve this?

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ANSWER

Answered 2021-Apr-08 at 21:16

Running xeus-cling under vs-code

Ceus works in the vs-code environment. You have to activate your conda environment and invoke vs-code from it (i use the code insiders edition). In linux this looks like

Source https://stackoverflow.com/questions/66408814

QUESTION

How to: Extend C++14 template function to variadic template, arguments

Asked 2020-Oct-14 at 05:35

I'm a returning C++ programmer who has been away from the language for several years (C++11 had just started gaining real traction when I was last active in the language). I've been actively developing data science apps in Python for the past few. As a learning exercise to get back up to speed I decided to implement Python's zip() function in C++14 and now have a working function that can take any two STL (and a few others) containers holding any types and "zip" them into a vector of tuples:

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ANSWER

Answered 2020-Oct-14 at 05:35

Variadic templates have a mechanism not too dissimilar to Python's ability to pass a function positional arguments and to then expand those positional arguments into a sequence of values. C++'s mechanism is a bit more powerful and more pattern based.

So let's take it from the top. You want to take an arbitrary series of ranges (containers is too limiting):

Source https://stackoverflow.com/questions/64346603

QUESTION

Strange file permission in docker container (question marks on permission bit and user bit)

Asked 2020-Feb-19 at 15:22

I write a Dockerfile and docker-compose.yml to build a custom image which combines beakerx and cling, which contents are below.

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ANSWER

Answered 2018-Sep-07 at 04:58

This problem is related to the storage-driver bug, see https://github.com/moby/moby/issues/28391, https://github.com/moby/moby/issues/20240. Currently I can only change storage-driver to overlay, use the default aufs or recommended overlay2 will break.

Source https://stackoverflow.com/questions/52195175

QUESTION

Jupyter Lab and Notebook Problem: Kernel Error

Asked 2019-Oct-28 at 09:51

It appears that somehow one of my kernels is deleted. And perhaps that's why I am getting this error. How could I possibly fix it? Can I reinstall something (the kernel in the base environment perhaps)?

If no better option is available, I would try reinstalling anaconda altogether as a last resort according to: Default kernel in jupyter notebook (Python3) not working.

I have tried using the following:

Current List of Kernels ...

ANSWER

Answered 2019-Oct-22 at 21:58

Solved the problem by editing the relevant kernelspec: kernel.json file after fresh installation of Anaconda.

Solution in Detail

As reported earlier, I found that I had two kernelspecs. (command: jupyter kernelspec list)

python3: C:\Users\raysu\AppData\Roaming\jupyter\kernels\python3
vpython: C:\ProgramData\jupyter\kernels\vpython

The kernelspec is a .json file that maintains kernel-specifications for jupyter-notebook/lab to launch a certain kernel. Fortunately, the kernel vpython was functioning and that helped me narrow down the source of the problem located inside kernelpsec: python3. I had to correct the path to the python executable (python.exe) and that solved the issue.

I would like to mention that in this case the following two resources came handy. I got more clarity in where the problem could be, after I saw the typical-structure of the kernelspec document.

Note: However, since I cannot test this theory, I would ask anyone else in a similar problem, to first make a copy of the old kernel.json file and then update the path to python.exe file. If that resolves the kernel error, then reinstalling Anaconda altogether may not be necessary.

Long story short:

If your jupyter notebook/lab environment shows you kernel error, most likely the source of the problem is inside the kernelspec file: kernel.json and the path to python.exe is incorrect. This could be a more likely scenario, if the same kernel error persists even after fresh re-installation of anaconda/jupyter-notebook/lab.

For instance, in my case, the python3-kernelspec was located at:

Source https://stackoverflow.com/questions/58459493

QUESTION

a black arrow in front of the cell in jupyter

Asked 2019-Sep-23 at 07:52

I see an annoying black arrow on my ipad while I using the python kernel and 'xeus-cling kernel'. Please help me understand what is going on with this.

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ANSWER

Answered 2019-Sep-23 at 07:52

It is most likely due to an upgrade of the notebook package. See this answer for how to downgrade, if you want to get rid of the black icons.

Remove play button display at every cell line of Jupyter notebook

Source https://stackoverflow.com/questions/58056363

QUESTION

Jupyter kernel for C++ on mac

Asked 2019-Feb-26 at 10:50

The xeus-cling Jupyter kernel for C++ looks great.

According to the installation:

xeus-cling has been packaged for the conda package manager on the linux platform.

Does this also work on mac?

(Comment thread on Hacker News suggests that it does not, so I wanted to confirm.)

If not, are there any alternative Jupyter C++ kernels for mac?

...

ANSWER

Answered 2019-Feb-26 at 10:50

The xeus-cling kernel has now been packaged for OS X.

From a clean conda environment, you can run

Source https://stackoverflow.com/questions/47862374

QUESTION

xeus-cling install fails in Anaconda

Asked 2019-Jan-10 at 10:59

I have created a new virtual instance of Ubuntu 18.10

On this fresh installation, I then installed Anaconda as per the installation instructions (using curl, which I also installed).

The next thing I did (quite literally) after verifying conda was correctly installed was to install xeus-cling via

conda install xeus-cling -c QuantStack -c conda-forge

After downloading all the packages, the install fails with this error:

Executing transaction: failed ERROR conda.core.link:_execute(502): An error occurred while installing package 'QuantStack::gcc-7-7.2.0-2'. LinkError: post-link script failed for package QuantStack::gcc-7-7.2.0-2 running your command again with -v will provide additional information location of failed script: /home/anaconda/anaconda3/bin/.gcc-7-post-link.sh ==> script messages <==

Attempting to roll back.

Rolling back transaction: done

LinkError: post-link script failed for package QuantStack::gcc-7-7.2.0-2 running your command again with -v will provide additional information location of failed script: /home/anaconda/anaconda3/bin/.gcc-7-post-link.sh ==> script messages <==

I have repeated this several times, and the error is always the same. Any idea how to resolve the problem? It looks like an issue with the version of gcc, but I'm not sure how to resolve/fix it.

Other conda packages (i.e. SciJava) install without problems (tested in other instances of this process).

...

ANSWER

Answered 2019-Jan-10 at 10:59

Ran into the same issue and resolved it by running

Source https://stackoverflow.com/questions/53551363

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install xeus

You can download it from GitHub.

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For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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