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Fork and pull model refers to a software development model mostly used on GitHub, where multiple developers working on an open, shared project make their own contributions by sharing a main repository and pushing changes after granted pull request by integrator users.
The contributor requests that the project maintainer pull the source code change, hence the name "pull request". The maintainer has to merge the pull request if the contribution should become part of the source base. [12] The developer creates a pull request to notify maintainers of a new change; a comment thread is associated with each pull ...
A pull request, a.k.a. merge request, is a request by a user to merge a branch into another branch. [118] [119] Git does not itself provide for pull requests, but it is a common feature of git cloud services. The underlying function of a pull request is no different than that of an administrator of a repository pulling changes from another ...
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
sider review. Sider is an automated code review tool with GitHub. [1] It's based on static code analysis and integrates with a number of open source static analysis tools. [2] It checks style violations, code quality, security and dependencies and provides results as a comment on GitHub pull request.
In the case of pull requests, the pull request will be annotated with the outcome and a link to the build log using a GitHub integration. Travis CI can be configured to run the tests on a range of different machines with different software installed (such as older versions of a programming language implementation to test for compatibility).
Llama was trained on only publicly available information, and was trained at various model sizes, with the intention to make it more accessible to different hardware. The model was exclusively a foundation model , [ 6 ] although the paper contained examples of instruction fine-tuned versions of the model.
If you would like to write code and submit patches to Twinkle, feel free to submit a pull request to our GitHub. Tools you should install on your local machine include Git and npm. You can see a list of easy patch requests here. You can get more details about how to compile and run Twinkle so you can test your changes here.