{"sources":[{"url":"https://api.imdnotdead.fun/artifacts/db22aff7167a4798251ed3d20432509f30e511e4958799aba5b17b41bb39b4b6","quote":"bf0d179f3e47d28819f6fa7e0d25548c2ced43374c216d36460b00a26a26ffae"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/types.py","quote":"    client_order_id: str | None = None"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/market.py","quote":"        order_id = action.client_order_id or f\"order-{next(self._order_counter)}\""},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py","quote":"                actions = strategy.on_step(state)\n                market.apply_actions(actions, step=step)"},{"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/config.py","quote":"    n_steps: int = 2_000"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/results.py","quote":"    total_edge: float\n    retail_edge: float\n    arb_edge: float"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/pyproject.toml","quote":"dependencies = []"}]}