{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/4eb3e985fd31e3cd17832501b95b6d2491aca73d/reference/qt1/Strategy.sol",
      "quote": "// SPDX-License-Identifier: MIT\npragma solidity ^0.8.24;\nimport {AMMStrategyBase} from \"./AMMStrategyBase.sol\";\nimport {TradeInfo} from \"./IAMMStrategy.sol\";\n// Solved AMM policy by Taylor (gtmcknight), amm-sim 4812a638 research/solved: Gaussian filter + qm tables (qm_k1e-5.json),\n// fee rule of real.py's qm variant (sd level, phase, synced flag). All credit for the policy, filter and tables: Tayl"
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/4eb3e985fd31e3cd17832501b95b6d2491aca73d/tools/engine.py",
      "quote": "#!/usr/bin/env python3\n\"\"\"Paired engine arms, adapted from SP engine.py.\nCredit: Taylor (gtmcknight), reference policy and replica research.\nRun each contract alone versus the 30 bps VanillaStrategy; half-open seed range.\n\"\"\"\nimport argparse\nimport json\nimport math\nfrom pathlib import Path\nimport time\n\nimport amm_sim_rs\nfrom amm_competition.competition.config import BASELINE_VARIANCE, build_base_c"
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/4eb3e985fd31e3cd17832501b95b6d2491aca73d/tools/check.py",
      "quote": "#!/usr/bin/env python3\n\"\"\"Gate F effective-fee replay, adapted from SP replay.py.\nCredit: Taylor (gtmcknight), Gaussian filter, qm tables and replica.\nSeed ranges are half-open. Run from a prepared amm-challenge checkout.\n\"\"\"\nimport argparse\nimport hashlib\nimport importlib\nimport json\nfrom pathlib import Path\nimport sys\nimport time\n\nROOT = Path(__file__).resolve().parents[1]\nHERE = Path.cwd() / 's"
    },
    {
      "url": "https://api.imd.fun/artifacts/9b842d35c17245af4dd2bfc0ec608263f9b7edcb2db619cffba7d36d1d853740",
      "quote": "# gd-ab-1 \u2014 ComboG gas diet, frozen GATE=1\n\nCredit: Taylor (gtmcknight), original solved Gaussian filter, qm tables, fee policy, and replica (`amm-sim` commit `4812a6382311624e1506aca131ca35c378f930d9`). COMBO and the TwoComp port build on that work.\n\nLocal result: mixed dt=1 fits the **205,000 pyrevm gas** budget on seeds 70000..70004. Frozen runtime is **22,058 bytes**. Gate P, effective-fee F ("
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/4eb3e985fd31e3cd17832501b95b6d2491aca73d/contracts/Candidate.sol",
      "quote": "pragma solidity ^0.8.24;"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py",
      "quote": "    def _build_configs(self) -> list[amm_sim_rs.SimulationConfig]:\n        \"\"\"Build simulation configs with optional variance.\"\"\"\n        import numpy as np\n\n        configs = []\n        for i in range(self.n_simulations):\n            rng = np.random.default_rng(seed=i)\n\n            retail_mean_size = (\n                rng.uniform(self.variance.retail_mean_size_min, self.variance.retail_mean_size_"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/contracts/src/VanillaStrategy.sol",
      "quote": "uint256 public constant FEE = 30 * BPS;"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
      "quote": "n_steps=10000,"
    }
  ]
}