{"sources": [
 {"url": "https://api.imd.fun/artifacts/e8c967d6358da0fd53117891357f19a1d684225bd71a5e302b6e299c85f1286c", "quote": "contract Strategy is AMMStrategyBase {"},
 {"url": "https://api.imd.fun/artifacts/e8c967d6358da0fd53117891357f19a1d684225bd71a5e302b6e299c85f1286c", "quote": "// Gaussian plain-table AMM policy ported from Taylor (gtmcknight), amm-sim"},
 {"url": "https://api.imd.fun/artifacts/0dbcc10af41b3c3467ff0d9b9cb64c81328fcf18295f9be06b2d81bb98874067", "quote": "uv venv --python 3.12 .venv;uv pip install $R/$W numpy numba cma py-solc-x==2.1.0 pyrevm==0.3.7;uv pip install --no-deps -e ."},
 {"url": "https://api.imd.fun/artifacts/2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336", "quote": "\"code_sha256\":\"cb6d945511e1e10af78baa64c2a6cb25806f0998403ce6440654bfc3c70092d9\""},
 {"url": "https://api.imd.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557", "quote": "\"code_sha256\":\"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686\""},
 {"url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py", "quote": "rng = np.random.default_rng(seed=i)"}
]}