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Steps for reproduction: Step 1: Find an edit (can be any edit, doesn't matter) Step 2: Make a second edit but plan to revert the first edit Step 3: Revert; it should say "another edit was made; made by same user so let's assume vandalism" message. Step 4: Go to their talk page, open up the twinkle warning menu. By that point, it should pop up ...
For example, suppose you wanted to create a bot for renaming categories. You could create an HTML form into which you will type the current and desired names of a category. When the form is submitted, your bot could read these inputs, then edit all the articles in the current category and move them to the desired category.
Wikibattle – An open-source implementation hosted on GitHub Pages. Supports playing against a friend or a random opponent. Supports playing against a friend or a random opponent. Wikipedia Speedrun – Game with the goal to navigate from a starting Wikipedia article to another one, in the least amount of clicks and time
GitHub Copilot is a code completion and automatic programming tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [1]
Jenkins is an open source automation server.It helps automate the parts of software development related to building, testing, and deploying, facilitating continuous integration, and continuous delivery.
It consists of a user-friendly DSL (Domain Specific Language) which describe actions that are executed by the underlying web driver. [ 4 ] When the page is loaded using the DSL (and underlying web driver), Capybara will attempt to locate the relevant element in the DOM (Document Object Model) and execute an action such as click button, link, etc.
Trained artificial neural networks can be stored as .net files to quickly saved and load ANNs for future use or future training. This allows dividing the training into multiple smaller steps, which can be useful when dealing with large training datasets or large neural networks.
You are very welcome to contribute to the code (for instance by pull requests on GitHub) and join the development team on wmflabs. You can request access to the Tools project . If you want to make suggestions or report bugs, please add a task to the Phabricator project .