pyInit | based somewhat off of Archlinux 's old init scripts | SSH library

by hi117 Python Version: Current License: No License

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kandi X-RAY | pyInit Summary

pyInit is a Python library typically used in Networking, SSH applications. pyInit has no bugs, it has no vulnerabilities and it has low support. However pyInit build file is not available. You can download it from GitHub.

This is my attempt to write my initscripts in python. As it stands, python3 is unable to run at boot. This leaves only python2 to run. Furthermore, I seem unable to get it to run from init inittab file in a standard sysV init system, which might make my job much, much harder.

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pyInit has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

pyInit has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyInit is current.

Quality

pyInit has 0 bugs and 0 code smells.

Security

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

pyInit code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyInit does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

pyInit has no build file. You will be need to create the build yourself to build the component from source.

It has 54 lines of code, 0 functions and 1 files.

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

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pyInit Key Features

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pyInit Examples and Code Snippets

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Community Discussions

Trending Discussions on pyInit

DeepFaceLab_NVIDIA outputs an error during the 'data_src faceset extract' - TensorFlow

QUESTION

DeepFaceLab_NVIDIA outputs an error during the 'data_src faceset extract' - TensorFlow

Asked 2021-Mar-09 at 22:15

In the DeepFaceLab the 4th and/or 5th process which is extracting the faceset from the data_src and/or data_dst outputs this error:

...

ANSWER

Answered 2021-Feb-16 at 06:19

So after a long time, I finally found the fix. Since I know the training will take a very long time I decided to do this on a laptop that had no GPU. For this very reason, the fix was to do the 10th step first or the cmd file named 10)Make CPU only. Doing so will uninstall the preinstalled TensorFlow and download an older version so an Internet Connection will be required. Additionally, executing it cannot be undone, this means DeepFaceLab will now run through CPU only 4ever unless you reinstall it again.

This should hopefully solve the problem.

Source https://stackoverflow.com/questions/65529897

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

Vulnerabilities

No vulnerabilities reported

Install pyInit

You can download it from GitHub.
You can use pyInit 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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