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The command to create a local repo, git init, creates a branch named master. [61] [111] Often it is used as the integration branch for merging changes into. [112] Since the default upstream remote is named origin, [113] the default remote branch is origin/master. Some tools such as GitHub and GitLab create a default branch named main instead.
Cherry-picking: move only some revisions from a branch to another one (instead of merging the branches) Bisect: binary search of source history for a change that introduced or fixed a regression; Incoming/outgoing: query the differences between the local repository and a remote one (the patches that would be fetched/sent on a pull/push)
Working copies effectively function as remote backups, which avoids relying on one physical machine as a single point of failure. [5] Allows various development models to be used, such as using development branches or a Commander/Lieutenant model. [6] Permits centralized control of the "release version" of the project [citation needed]
The users of the version control system can branch any branch. Branches are also known as trees, streams or codelines. The originating branch is sometimes called the parent branch, the upstream branch (or simply upstream, especially if the branches are maintained by different organizations or individuals), or the backing stream.
Version control (also known as revision control, source control, and source code management) is the software engineering practice of controlling, organizing, and tracking different versions in history of computer files; primarily source code text files, but generally any type of file.
For instance, a released version of the software project may form one branch, used for bug fixes, while a version under current development, with major changes and new features, can form a separate branch. CVS assumes that the majority of work takes place on the trunk, and that branches should generally be short-lived or historical.
ML experiments: To solve the problem of Git overhead, when hundreds of experiments need to be run in a single day and each experiment run requires additional Git commands, DVC 2.0 introduced the lightweight experiments feature. It allows its users to auto-track ML experiments and capture code changes.
Azure DevOps Server, formerly known as Team Foundation Server (TFS) and Visual Studio Team System (VSTS), is a Microsoft product that provides version control (either with Team Foundation Version Control (TFVC) or Git), reporting, requirements management, project management (for both agile software development and waterfall teams), automated builds, testing and release management capabilities.