pyTSon_plugins | Some plugins I use in pyTSon | Automation library

 by   Bluscream Python Version: ShittyExploits License: GPL-3.0

kandi X-RAY | pyTSon_plugins Summary

kandi X-RAY | pyTSon_plugins Summary

pyTSon_plugins is a Python library typically used in Automation applications. pyTSon_plugins has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

This repository contains pyTSon scripts that were either created or modified by me. For a list of all the scripts available check the scripts subdirectory. Some of the scripts I created require special dependencies. Confirm you have updated versions of all the requirements if you want a script to run smoothly.
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              pyTSon_plugins has a low active ecosystem.
              It has 22 star(s) with 38 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 43 have been closed. On average issues are closed in 5 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyTSon_plugins is ShittyExploits

            kandi-Quality Quality

              pyTSon_plugins has 0 bugs and 0 code smells.

            kandi-Security Security

              pyTSon_plugins has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pyTSon_plugins code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyTSon_plugins is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              pyTSon_plugins releases are available to install and integrate.
              Build file is available. You can build the component from source.
              pyTSon_plugins saves you 7100 person hours of effort in developing the same functionality from scratch.
              It has 14696 lines of code, 1324 functions and 123 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            pyTSon_plugins Key Features

            No Key Features are available at this moment for pyTSon_plugins.

            pyTSon_plugins Examples and Code Snippets

            No Code Snippets are available at this moment for pyTSon_plugins.

            Community Discussions

            QUESTION

            Only save config if changed
            Asked 2018-Aug-19 at 10:42

            Is it possible to add a check which discards a pending config change when the resulting config would be the same even tho the lines moved may have moved?

            I am asking because in some scripts i save the config everytime i close some application and when i'm commiting my folder i always get stuff like this also i think it's unneccessary I/O load.

            These are my loadCfg and saveCfg functions:

            ...

            ANSWER

            Answered 2018-Aug-12 at 23:50

            First let me say I doubt the unnecessary I/O load matters and what you want to do is likely a case of premature optimization.

            That said, here's an approach that seems to work — although I haven't tested it thoroughly or attempted to incorporated it into your loadCfg() and saveCfg() functions. (Whose names don't follow the PEP 8 - Style Guide for Python Code recommended naming convention for functions, BTW).

            The basic idea is to convert the initial ConfigParser instance into an dictionary and save it. Then, before closing the application, do that again and compare the before and after dictionaries to determine whether they're the same or not.

            Source https://stackoverflow.com/questions/51808494

            QUESTION

            Any way to identify which QTimer was called?
            Asked 2018-Feb-22 at 12:05

            I thought about giving additional parameters to the callback but that looks way too heavily complicated (creating a own modified QTimer object, etc.)

            The other thing i thought about after reading through the QTimer docs was saving the timerID and checking that but as there's nothing in the callback i don't have any idea what to check against :/

            If someone is interested in the special usecase: https://github.com/Bluscream/pyTSon_plugins/blob/master/scripts/antiAFK/init.py#L35

            ...

            ANSWER

            Answered 2018-Feb-22 at 10:02

            I can think of at least two approaches you could take:

            First, you could retrieve the pointer to QTimer by casting the sender within the slot:

            Source https://stackoverflow.com/questions/48924190

            QUESTION

            Get name of attributes
            Asked 2017-Nov-25 at 16:50

            I'd like to get the name of any attribute while iterating over it.

            the ts3defines.py looks like this:

            ...

            ANSWER

            Answered 2017-Nov-25 at 16:50

            I don't understand why you're trying to access __name__. You already have the name within the getItems method; it's a. You should return that and use it in the loop.

            Source https://stackoverflow.com/questions/47488206

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyTSon_plugins

            You can download it from GitHub.
            You can use pyTSon_plugins 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 .
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