{
 "sources": [
  {
   "url": "https://api.imdnotdead.fun/artifacts/fd38823c16c850438759b77387cecd713241ff3f0b6d5280ef161c6717375ed8",
   "quote": "Frozen QPL1 u1 replaces only min-lookup tables/decoder and lookup call sites. No refit. Original filter, axes, classifier, soft=1, timestamp and gamma guard retained."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/fd38823c16c850438759b77387cecd713241ff3f0b6d5280ef161c6717375ed8",
   "quote": "\"runtime_sha256\":\"4ee7c49f03f8117c15798c45ebbfaa54a2289d62d5d5447d02b45fc287d41919\""
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/755f4fc0a7b028497ad9ddf23ea568071192341e192335cb7f31174d066d4df0",
   "quote": "Built BASE + TellMath + the specified odds rule, soft=1 and tables unchanged."
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/755f4fc0a7b028497ad9ddf23ea568071192341e192335cb7f31174d066d4df0",
   "quote": "\"runtime_bytes\":22499"
  },
  {
   "url": "https://api.imdnotdead.fun/artifacts/8a6e303b662e1a5ea9bb47f31acedd3988ef65b3ddb66d074517aa59ad41ca40",
   "quote": "Its deployed runtime is **20,605 bytes** and its pyrevm peak is **194,051 gas**, so both targets are met."
  },
  {
   "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/match.py",
   "quote": "rng = np.random.default_rng(seed=i)"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py",
   "quote": "batch_result = amm_sim_rs.run_batch(\n            list(strategy_a._bytecode),\n            list(strategy_b._bytecode),\n            configs,\n            self.n_workers,\n        )"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
   "quote": "retail_mean_size_min=19.0,\n    retail_mean_size_max=21.0,\n    vary_retail_mean_size=True,\n    retail_arrival_rate_min=0.6,\n    retail_arrival_rate_max=1.0,\n    vary_retail_arrival_rate=True,\n    gbm_sigma_min=0.000882,\n    gbm_sigma_max=0.001008,\n    vary_gbm_sigma=True,"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
   "quote": "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,"
  }
 ]
}