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Transformer-based approaches for an efficient docstrings generation on a piece of Python's code.

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Source Code Summarization

Currently observed approaches:

Method Source Paper
Neural Code Sum repo arxiv
Tree Transformer repo openreview
TransCoder repo arxiv

Environment setup:

conda create -n scs python=3.7
conda activate scs
pip install -r requirements.txt

Install linter with:

pip install flake8

To run formatter execute from the source folder:

bash scripts/yapf.sh

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Transformer-based approaches for an efficient docstrings generation on a piece of Python's code.

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