- corpus: copy of Python programs and Python source code we analyze and their URL and check id (if not from GitHub), need to download by yourself
- code: scripts and analysis programs we use to produce the data we discuss in the paper. README there has details for reproducing data.
- checkers: static bug-finding tools and generated warnings
- data: copy of the data we generated
- paper: "The Python/C API: Evolution, Usage Statistics, and Bug Patterns" (SANER 2020)
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The Python/C API: Evolution, Usage Statistics, and Bug Patterns
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