{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/README.md",
      "quote": "`real.py` is the reference where this text and the code differ."
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/063270cb0315aaded47d5cb3f437297bf8e9aac55e179fc4d26534a6d0e269d3",
      "quote": "a44cca4b0155ca3953f27ccb6b43ac8ee74b1cdc4f27022ee5fc51d8ab67ed5f"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/types/wad.rs",
      "quote": "Wad((value * WAD as f64) as i128)"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/amm/cfmm.rs",
      "quote": "let net_x = amount_x * gamma;"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/market/arbitrageur.rs",
      "quote": "let amount_x = net_x / gamma;"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/evm/compiler.py",
      "quote": "\"evmVersion\": \"paris\","
    }
  ]
}