{
 "sources": [
  {
   "url": "https://api.imd.fun/artifacts/149883fee797ad95a91e535b7a74453587a3eb19ca87ab95f7d8585db160a8f4",
   "quote": "5d1bd5272884f513b19f0e66a7c235f6c188a08e4f7787ac9346f1614dda3ed3"
  },
  {
   "url": "https://api.imd.fun/artifacts/6b40ef6fdf9512700501e6b92fb5c920955a97b29111faada6d411074173b7cd",
   "quote": "4f9167dddd457f394e988bf9c9e2576dd6120834bfb8d93573ce9451fd587598"
  },
  {
   "url": "https://api.imd.fun/artifacts/2d4b30bbc6bffbc500b37ce5e8a1ac821d6513c52a6a2377b4be3c11d97717fb",
   "quote": "_IncumbentStrategy = Strategy"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
   "quote": "n_steps: int = 2_000"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
   "quote": "competitor_spread_ticks_max: int = 4"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py",
   "quote": "def __init__(self, config: ChallengeConfig, strategy_factory, *, seed: int) -> None:"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py",
   "quote": "config = sample_config(base_config, variance, seed=seed)"
  }
 ]
}