{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/c1c9a349f00bf18746f17c6a253469df6634860b/tools/README.md",
      "quote": "`engine.py CANDIDATE BASELINE START END OUTPUT` runs each arm separately against the 30 bps VanillaStrategy, using `amm_sim_rs.run_batch(X, Vanilla, configs, 8)`. Configs match `MatchRunner._build_configs` with default baseline variance."
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/c1c9a349f00bf18746f17c6a253469df6634860b/tools/setup.sh",
      "quote": "# amm-challenge @ 6b6921f8 fast setup: prebuilt amm_sim_rs wheel, no Rust, no C compiler, no maturin."
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/c1c9a349f00bf18746f17c6a253469df6634860b/tools/engine.py",
      "quote": "        batch = amm_sim_rs.run_batch(list(bytes.fromhex(code['creation'])), list(normalizer), cfg, 8)"
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/c1c9a349f00bf18746f17c6a253469df6634860b/tools/check.py",
      "quote": "    digest = hashlib.sha256(source.encode()).hexdigest()"
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/c1c9a349f00bf18746f17c6a253469df6634860b/reference/qt1/Strategy.sol",
      "quote": "// Solved AMM policy by Taylor (gtmcknight), amm-sim 4812a638 research/solved: Gaussian filter + qm tables (qm_k1e-5.json),"
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/c1c9a349f00bf18746f17c6a253469df6634860b/reference/qtr2/Strategy.sol",
      "quote": "    function getName() external pure override returns(string memory) { unchecked {return \"TaylorGaussianQmTrim2\";} }"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/ebab165bd9bc568057d042f7a9364713eb9cbef3f895e046fc1fde8264134fd2",
      "quote": "Candidate source SHA-256: `b87234c89e094f4955578417c1266129b0f96e6dfda68e3fb8866e00eeda71a2`."
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/evm/compiler.py",
      "quote": "                    \"viaIR\": True,\n                    \"evmVersion\": \"paris\","
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py",
      "quote": "            rng = np.random.default_rng(seed=i)"
    }
  ]
}