{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/e8c967d6358da0fd53117891357f19a1d684225bd71a5e302b6e299c85f1286c",
      "quote": "The design follows [Taylor (gtmcknight)'s solved policy](https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md) and its [Gaussian implementation](https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/real.py)."
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/2333ecf28d4356bd232b85c1e55842e94e1ada05e1cd067830b5625dfdbc5336",
      "quote": "\"code_sha256\":\"cb6d945511e1e10af78baa64c2a6cb25806f0998403ce6440654bfc3c70092d9\""
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557",
      "quote": "\"code_sha256\":\"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686\""
    },
    {
      "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/config.py",
      "quote": "n_steps=10000,"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/evm/compiler.py",
      "quote": "SOLC_VERSION = \"0.8.24\""
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/contracts/src/VanillaStrategy.sol",
      "quote": "return \"Vanilla_30bps\";"
    }
  ]
}