{"sources":[{"url":"https://api.imdnotdead.fun/artifacts/fd2f147e94f3523e4c4f91e43dc98b88e9ce8ef1060d2939367445711154a16a","quote":"{\"item\":\"copy-b\",\"batch\":\"e04-a-u1-give\",\"valid\":true,\"submission\":false,\"status\":\"all gates pass (isArb 11856/11856; closed loop max 4.58e-7 bps vs 0.01; sanity pass; validate; 21055 B; 6 of 32 slots; no assembly; engine afterSwa"},{"url":"https://api.imdnotdead.fun/artifacts/fd38823c16c850438759b77387cecd713241ff3f0b6d5280ef161c6717375ed8","quote":"{\"item\":\"lookup-u1\",\"valid\":true,\"status\":\"engine_clamped_gates_pass; raw_shadow_cap_exception_reported\",\"submission\":false,\"method\":\"Frozen QPL1 u1 replaces only min-lookup tables/decoder and lookup call sites. No refit. Original"},{"url":"https://api.imdnotdead.fun/artifacts/8a6e303b662e1a5ea9bb47f31acedd3988ef65b3ddb66d074517aa59ad41ca40","quote":"# qt1: Taylor's qm tables (qm-spline compression) in trim-2's contract\n\n**Summary.** I replaced trim-2's network with the qm-spline lookup and kept trim-2's filter, 3-slot state and fee conversion. The new contract reproduces the "},{"url":"https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/tell/README.md","quote":"The score.** The contract with the test against the contract on the board, each alone against VanillaStrategy on the same fresh seeds."},{"url":"https://raw.githubusercontent.com/gtmcknight/amm-sim/main/research/setup.sh","quote":"echo \"aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a  $R/$W\"|sha256sum -c -"},{"url":"https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py","quote":"BASELINE_SETTINGS = BaselineSimulationSettings(\n    n_simulations=1000,\n    n_steps=10000,\n    initial_price=100.0,\n    initial_x=100.0,\n    initial_y=10000.0,\n    gbm_mu=0.0,\n    gbm_dt=1.0,\n    retail_buy_prob=0.5,\n    retail_size_sigma=1.2,\n)\n\n\nBASELINE_VARIANCE = HyperparameterVariance(\n    retail_mean_size_min=19.0,\n    retail_mean_size_max=21.0,\n    vary_retail_mean_size=True,\n    retail_arr"},{"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/amm_competition/evm/compiler.py","quote":"                    \"optimizer\": {\n                        \"enabled\": True,\n                        \"runs\": 200,\n                    },\n                    \"viaIR\": True,\n                    \"evmVersion\": \"paris\",\n                    \"outputSelection\": {\n                        \"*\": {\n                            \"*\": [\n                                \"abi\",\n                                \"evm.byt"},{"url":"https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/evm/baseline.py","quote":"    if _CACHED_BYTECODE is None:\n        contracts_dir = Path(__file__).parent.parent.parent / \"contracts\" / \"src\"\n        source = (contracts_dir / \"VanillaStrategy.sol\").read_text()\n        compiler = SolidityCompiler()\n        result = compiler.compile(source, contract_name=\"VanillaStrategy\")\n        if not result.success:\n            raise RuntimeError(f\"Failed to compile VanillaStrategy: {res"}]}