{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/README.md",
      "quote": "Engine work runs in 64-seed commands, sized to the seat (256 seeds on a slow one); report n per arm and never fill in a missing seed."
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/main/research/setup.sh",
      "quote": "aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a"
    },
    {
      "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": "retail_mean_size_min=19.0,\n    retail_mean_size_max=21.0,\n    vary_retail_mean_size=True,"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/evm/compiler.py",
      "quote": "\"viaIR\": True,\n                    \"evmVersion\": \"paris\","
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/evm/baseline.py",
      "quote": "result = compiler.compile(source, contract_name=\"VanillaStrategy\")"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557",
      "quote": "301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686"
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