bashtest | UNIX command-line tool | Command Line Interface library

by pahaz Python Version: 0.0.8 License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | bashtest Summary

bashtest is a Python library typically used in Utilities, Command Line Interface applications. bashtest has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However bashtest has 4 bugs. You can install using 'pip install bashtest' or download it from GitHub, PyPI.

BashTest is a UNIX command-line tool for testing your bash/sh scripts

Support

Quality

Security

License

Reuse

Support

bashtest has a low active ecosystem.

It has 37 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 3 have been closed. On average issues are closed in 10 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bashtest is 0.0.8

Quality

bashtest has 4 bugs (0 blocker, 0 critical, 4 major, 0 minor) and 2 code smells.

Security

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

bashtest code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

bashtest 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

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

bashtest saves you 67 person hours of effort in developing the same functionality from scratch.

It has 174 lines of code, 5 functions and 6 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of bashtest

Get all kandi verified functions for this library.

bashtest Key Features

No Key Features are available at this moment for bashtest.

bashtest Examples and Code Snippets

No Code Snippets are available at this moment for bashtest.

Community Discussions

Trending Discussions on bashtest

Redirect time command and stdout output into the same file via shell script

Julia program stalls when run from crontab scheduler (Linux)

Remove everything before //

QUESTION

Redirect time command and stdout output into the same file via shell script

Asked 2020-Mar-15 at 10:32

So start learning about scripting, i have following main.cppp

...

ANSWER

Answered 2020-Mar-15 at 10:24

You just need to inverse two redirections :

Source https://stackoverflow.com/questions/60691801

QUESTION

Julia program stalls when run from crontab scheduler (Linux)

Asked 2019-Dec-30 at 19:17

I have a really specific and tricky bug that I can't figure out how to fix/work around and I can't find a similar case on here.

I have a bash script that invokes a Julia script partway through to generate animation frames, then calls ffmpeg to render the animation. When I run from the terminal everything works great. I wanted to automate the process so I got a fun random simulation once a day, so I added it to my crontab and it runs--but only to a certain point. The animation always stops at a specific frame, then the rest of the script continues and spits out the chopped off animation.

I thought maybe cron was the problem, so I installed jobber and ran the job from there--with jobber the script just stalls at the Julia part. From the resource manager I can see the Julia process still using memory (although well beneath the limit) but it's just gone to sleep.

Another strange thing that I have noticed is that when I invoke the script manually from the command line it runs ~2-4x faster in generating the animation frames than when its running automatically via crontab/jobber.

Is this a weird resource issue? To get the longer animations to render initially I had to modify my ulimit settings, but I changed the config file so they should be set higher for everything? How can I debug this further and/or rectify it?

If you want to see an example of the code being run (both the shell script and julia script being invoked) it's pretty much up to date on my github here. In the threeBodyProb.jl file the I'm pretty sure the hang up is with the frame function in the for looop at the end of the file.

I am running Linux Mint 19.1 Cinnamon. Thanks in advance for the help!

Here is the part of the bash script where it hangs up:

...

ANSWER

Answered 2019-Dec-30 at 19:17

Thanks so much for the help @TasosPapastylianou--that error message eventually led me to this post which fixed my problem (and also significantly sped up the animation rendering process as a nice byproduct).

Ultimately it appears the problem was not with cron or the bash script, but instead with Julia's GR backend. I added the line

Source https://stackoverflow.com/questions/59515953

QUESTION

Remove everything before //

Asked 2017-Mar-27 at 20:09

I have strings like /mnt/c/BashTest/tmp/iostream and /mnt/c/BashTest/tmp//mnt/c/BashTest/tmp/iostream and I need to check if there is // in the string and if it is, remove everything before // (except one /). For example /mnt/c/BashTest/tmp/ from the second string.

...

ANSWER

Answered 2017-Mar-27 at 18:56

I suggest to use a regex with GNU sed:

Source https://stackoverflow.com/questions/43054276

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

Vulnerabilities

No vulnerabilities reported

Install bashtest

You can install using 'pip install bashtest' or download it from GitHub, PyPI.
You can use bashtest like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

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 .

Find more information at: