Comments (2)
Hi @alexkarargyris -- currently, we implement support for source-to-source transformations for Javascript and Typescript. We used the babel transpiler to implement these passes. We don't have plans to extend this to Python but it would likely be possible via source-to-source converters like https://docs.python.org/3/library/2to3.html or via AST manipulation (see this guide https://greentreesnakes.readthedocs.io/en/latest/).
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If you would like to use the ContraCode modeling approach over Python, the rest of the PyTorch code can likely be used mostly unmodified. However, you would need to modify the dataloader https://github.com/parasj/contracode/blob/master/representjs/data/augmented_dataset.py
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Related Issues (11)
- How to generate augmented js file HOT 5
- What kind of gpu environment did you use to train the model? HOT 4
- Memory requirements for ContraCode HOT 3
- Proper Pytorch version HOT 1
- Memory explosion when pretrain Bidirectional LSTM HOT 2
- ask help for the codeclone dataset HOT 4
- code embedding HOT 1
- data.zip HOT 7
- Cannot obtain the checkpoint HOT 1
- How many GPUs are used by this project? HOT 1
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