We have two different environments for development and production as it is common in software development. In the development env., we test, debug, and profile Type4Py’s server-side components before releasing new features/fixes into the production code.
Also, whenever we train a new Type4Py neural model, we test it against its evaluation metrics (see its paper ) and run integration tests to ensure that it produces expected predctions for given Python source files. Finally, the VSCode extension uses the development env. when testing new featues/fixes before releasing a new extension version.
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