{
  "sources": [
    {
      "url": "https://api.imd.fun/artifacts/db22aff7167a4798251ed3d20432509f30e511e4958799aba5b17b41bb39b4b6",
      "quote": "{\"approach\":\"Started from 151e0b1b16f90a1384b823bc528d6d1407f7b4bbfcc7966c12119fe483bfd326 and merged syntax-tree fragments from c1-pairs (spread 1), c2-queue (spread 2), a3-ledger (spread 3), and c4-all (spread 4). The three older-base blo"
    },
    {
      "url": "https://api.imd.fun/artifacts/1117198c0b6d6379587ca7db508e00b01a182bbbd5d78f737b803a9102057a2b",
      "quote": "# Merge 01 of batch r3-fresh-overlay\n\nSources: the six item results under .imd/reads/artifacts/item-f-*. Numbers are copied from the items; nothing recomputed. `paired_n` is the item's `paired.n`. `top` takes the three unflagged rows with t"
    },
    {
      "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/runner.py",
      "quote": "    rng = random.Random(seed)"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py",
      "quote": "    def run(self) -> SimulationResult:"
    }
  ]
}