If pytest encounters a manageable error during discovery, such as an unknown import, all remaining tests will still be discovered outside the file containing the error. The Test Explorer panel now supports error-tolerant pytest discovery as a feature included in our new testing architecture. Check out the npm module to work with Python environments available on your machine. The Python extension now provides an npm package to make it easier for other extension authors to access and track changes in the Python extension API. Theme: Catppuccin Macchiato (preview on v) Npm package for the Python extension API A prompt will appear, allowing you to enter the desired arguments that should be passed to the Python file.Īfter entering your arguments, press Enter, and the debugger will start, letting you step through your code! To start debugging, press F5, or Run > Start Debugging. Then, open the Python file that you want to debug, which requires command-line arguments. Select Debugpy, and then select Python: File with Arguments from the available configurations. Then open the Run and Debug view by pressing Ctrl + Shift + D or ⌘ + ⇧ + D and click on either Create a launch.json file or the gear icon to access the launch.json file. To use this configuration, make sure you have the Debugpy extension installed. The new Debugpy extension now provides a “Python File with Arguments” launch.json configuration, which is useful when you want to provide different input values for your Python file without the need to modify your code or the debugger configuration each time you run it. Debugger configuration for running files with arguments The dev container is also configured to install any required extensions for development, including Pylance and Black formatter extensions. Python versions 3.7, 3.8, 3.9, 3.10, and 3.11 are pre-installed so you can readily switch between Python versions using pyenv. Since we’ve enabled pre-builds, the Dev Container will load instantly. Using this customized dev container, contributors can open the Python extension repository in GitHub Codespaces, and start working on developing and testing the Python extension with no other installation required. There is now a Dev Container in the source repo of the Python extension. Python extension Dev Container for Contributors If you’re interested, you can check the full list of improvements in our changelogs for the Python, Jupyter and Pylance extensions. Npm package for the Python extension API.Debug configuration for running Python files with arguments.Python extension Dev Container for Contributors.This release includes the following announcements: We’re excited to announce the August 2023 release of the Python and Jupyter extensions for Visual Studio Code!
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