Galois Autocomplete

First you will need an environment with the autocomplete script in which to launch the Argot Server. You may either install the autocomplete script yourself locally as described in Muses/autocomplete or launch Argot Server in its provided Docker image. The muse itself is a fork of the Galois Autocompleter project with changes such as the addition of an LSP server frontend.

docker pull mnemo/argot-server

With Mnemosyne running and the Galois autocomplete muse loaded, you can now invoke the muse for code completions guided by machine learning. Open up a Python source file, and add the following code:

if __name__ ==

Place the cursor after the == and then invoke a code completion request. (E.g., in Emacs with M-x completion-at-point or in VSCode by pressing Ctrl+Space). The LSP server will return a list of applicable completions, at the top of which should be '__main__' and "__main__".