{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/e50ab7b92163d8589bb2f75c49d6cda2a1012bb96a0f4a52620b887668f63264",
      "quote": "// SPDX-License-Identifier: MIT\npragma solidity ^0.8.24;\nimport {AMMStrategyBase} from \"./AMMStrategyBase.sol\";\nimport {TradeInfo} from \"./IAMMStrategy.sol\";\n// Policy: Taylor's (gtmcknight) solved game, amm-sim 4812a638, research/solved: Gaussian fi"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/fce772b9057867b241350b8e44c05298c6c877871a26b58702a5af431726f6c5",
      "quote": "// SPDX-License-Identifier: MIT\npragma solidity ^0.8.24;\nimport {AMMStrategyBase} from \"./AMMStrategyBase.sol\";\nimport {TradeInfo} from \"./IAMMStrategy.sol\";\n// Gaussian solved policy by Taylor (gtmcknight), amm-sim 4812a638; filter ported from port-"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336",
      "quote": "code_zb64\":\"eNrdPdly3DiS7/4Kdj9MFCWWRJAgCeoohWzL3YqVj7HU0z3b4VWwVJRFu66pYkm2u/3vm4mLAAmWNLPRL+uHEgkiE4m8cXp/37t89/K34UV1U87X5fB8Us7r6rYqVwfe6/OrZ8tV8XFWeOvFtJpU"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557",
      "quote": "code_zb64\":\"eNrdPWtz2ziS3/MrOPNhS4xJm+CbliWXkjgzrnMSb+zZmb2tnIuSaJuJJGopyk4yk/9+jScBEJSVvcqXc6psEkQ3Gv1Co/HI0ZF1dfnqD/einBWrTeGez4tVU96WRX1svTm/frau87tlbm2qRTkv"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/e8c967d6358da0fd53117891357f19a1d684225bd71a5e302b6e299c85f1286c",
      "quote": "set -eu;R=$PWD/scratch;mkdir -p $R/tmp $R/bin $R/solcx"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py",
      "quote": "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_max)\n                if self.varian"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
      "quote": "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 = Hyperpar"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/contracts/src/VanillaStrategy.sol",
      "quote": "contract VanillaStrategy is AMMStrategyBase {\n    /// @notice Fixed fee in WAD (30 bps = 0.30% = 30e14)\n    uint256 public constant FEE = 30 * BPS;\n\n    /// @inheritdoc IAMMStrategy\n    function after"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/evm/compiler.py",
      "quote": "\"viaIR\": True,\n                    \"evmVersion\": \"paris\","
    }
  ]
}