scale-build | TrueNAS SCALE Build System

by truenas Python Version: TS-22.02-RC.1-1 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | scale-build Summary

scale-build is a Python library typically used in Docker, Ubuntu, Debian applications. scale-build has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A build framework for TrueNAS SCALE. Found an issue in the build for SCALE? Please report it on our Jira bugtracker.

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Quality

Security

License

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Support

scale-build has a low active ecosystem.

It has 250 star(s) with 66 fork(s). There are 26 watchers for this library.

It had no major release in the last 12 months.

scale-build has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of scale-build is TS-22.02-RC.1-1

Quality

scale-build has 0 bugs and 0 code smells.

Security

scale-build has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

scale-build code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

scale-build 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

scale-build releases are available to install and integrate.

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

It has 2132 lines of code, 170 functions and 47 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed scale-build and discovered the below as its top functions. This is intended to give you an instant insight into scale-build implemented functionality, and help decide if they suit your requirements.

Checkout branch
Run a command
Retrieve the git remote and its SHA
Retrieve the remote origin and SHA
Build a package
Get build environment
Run command in chroot
Perform build
Run preflight checks
Build an ISO
Build an update image
Branch out all packages in source repo
Check git sources
Return branch override
Returns a list of binaries for this package
Build the project
Check if the build epoch has changed
Check if the source file has changed
Deboot a Debian distribution
Check if the mirror cache is intact
Setup logging
Validates the system
Determines whether this constraint is to build
Setup chroot directory
Validates branch out configuration
Return the existing branch for this source

Get all kandi verified functions for this library.

scale-build Key Features

No Key Features are available at this moment for scale-build.

scale-build Examples and Code Snippets

No Code Snippets are available at this moment for scale-build.

Community Discussions

Trending Discussions on scale-build

Comparing different results captured by OMS

QUESTION

Comparing different results captured by OMS

Asked 2018-Feb-22 at 06:28

Following up to a previous post Scale Building in SPSS, I'm trying to automate the scale building process using Cronbach's alpha and alpha-if-deleted. The manual process requires me to run a Reliability analysis, then check the alpha-if-deleted values to see which variables should be dropped from the scale. This can take several iterations, so I'm trying to automate it. Here's my syntax so far:

...

ANSWER

Answered 2018-Feb-22 at 06:28

The following will create a macro which contains only the names of the variables that you specified.

First, this will create some sample data and recreate the situation you described (using your syntax):

Source https://stackoverflow.com/questions/48896674

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

Vulnerabilities

No vulnerabilities reported

Install scale-build

You can download it from GitHub.
You can use scale-build 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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