Search Results for "liblpsolve55.so"

...Teams can enforce patterns (for example, treating non-tagged builds as snapshots) and keep CI builds reproducible without hardcoding versions in build.gradle. The plugin integrates with Gradle’s project.version, so the computed version flows automatically into publishing, packaging, and artifact naming. It works well in branching workflows by incorporating branch or distance information, making debug artifacts easy to trace back to source. By centralizing version logic around Git history, it eliminates manual bumps and reduces mistakes when cutting releases across multiple modules.

...It’s highly recommended that you build libgit2 as a static library for Xcode projects to simplify distribution significantly. libgit2 is used for powering Git GUI clients, such as gmaster and GitKraken and on Git hosting providers such as GitLab, Azure, GitHub, DevOps, among others. By clicking "merge pull request", we perform the merge. It is licensed under the GPLv2 license, so you can link it in its unmodified state with any type of software without releasing its source code.

...GitForce is a GUI front-end for the git command line tool and runs on both Windows and Linux. It is designed to be easy and intuitive to use and yet powerful enough so you don't need to use a command line git.

...Rather than manually typing commit messages, this tool prompts you to select commit types, scopes, and write descriptions according to a defined format. It integrates with the popular commitizen ecosystem so that when you run npx git-cz or similar, you are prompted through a workflow instead of free-form message. The project emphasises consistency and readability in commit history, helping teams enforce semantic or conventional commit message formats. It supports custom configuration (for example via a changelog.config.js file) so you can adapt the prompts or types to your project’s conventions. ...

...It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible setup and Makefile-driven workflow streamline tasks like spinning up services, loading datasets, training models, and generating candidate lists. Because it’s built around Spark’s scalable primitives, Albedo can experiment on substantial snapshots of GitHub metadata rather than toy corpora. ...