pychd-pyobf 0.1.0

Anonymise identifiers / constants / metadata inside a CPython .pyc while preserving the opcode stream — for contamination-free decompiler benchmarking

pychd-pyobf

Anonymise identifiers, string constants, docstrings, and metadata inside a CPython .pyc while preserving the opcode stream exactly.

Built to neutralise LLM training-data memorisation when benchmarking Python decompilers: even if an LLM has seen the original source on the internet, the anonymised .pyc does not contain the surface tokens (variable names, comments, docstrings) it would use to recognise the source.

Covers every CPython release pychd recognises: 3.0–3.14.

• 3.14 (the running interpreter) is rewritten natively via types.CodeType.replace().
• 3.0–3.13 are rewritten via a subprocess into a uv-managed Python of that minor version, so the obfuscator stays a tiny dependency.

Pair with pychd-pyfuzz (random valid-Python source generator) for the strongest available contamination guarantee.

See the main pychd README for the broader story.

Install

pip install pychd-pyobf

Use

pychd-pyobf rewrite IN.pyc OUT.pyc --mapping mapping.json

The --mapping flag (optional) writes the original-to-anonymised identifier dict to JSON for audit / debugging. Without it, the mapping is discarded after rewriting.

Status

Pre-release. API and CLI are still evolving with the parent project.