{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336",
      "quote": "\"code_sha256\":\"cb6d945511e1e10af78baa64c2a6cb25806f0998403ce6440654bfc3c70092d9\""
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979",
      "quote": "\"port_sha256\":\"b29cd2a078b4c3fc57945a79e927624dd346c44d8cc149dae43f4929aa6d736b\""
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/e8a7a2af9039c24b8bb2d3b5fa1c9113606cbf5a480ac07d02ca26750f1752ea",
      "quote": "\"replica_source_sha256\": \"1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c\""
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690",
      "quote": "\"sha256\":\"99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe\""
    },
    {
      "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_sim_rs/src/types/result.rs",
      "quote": "    /// Total arb volume (in Y) by strategy name\n    #[pyo3(get)]\n    pub arb_volume_y: HashMap<String, f64>,\n\n    /// Total retail volume (in Y) by strategy name\n    #[pyo3(get)]\n    pub retail_volume_y: HashMap<String, f64>,"
    }
  ]
}