{"sources":[{"url":"https://api.imd.fun/artifacts/6b40ef6fdf9512700501e6b92fb5c920955a97b29111faada6d411074173b7cd","quote":"\"code_sha256\":\"4f9167dddd457f394e988bf9c9e2576dd6120834bfb8d93573ce9451fd587598\""},{"url":"https://api.imd.fun/artifacts/2d4b30bbc6bffbc500b37ce5e8a1ac821d6513c52a6a2377b4be3c11d97717fb","quote":"_IncumbentStrategy = Strategy\\n\\nclass Strategy(_IncumbentStrategy):"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py","quote":"def sample_config(\n    base_config: ChallengeConfig,\n    variance: ParameterVariance,\n    *,\n    seed: int,\n) -> ChallengeConfig:"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py","quote":"class SimulationEngine:\n    def __init__(self, config: ChallengeConfig, strategy_factory, *, seed: int) -> None:"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py","quote":"class JumpDiffusionConfig:\n    \"\"\"Latent score-process parameters.\"\"\"\n\n    n_steps: int = 2_000"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/loader.py","quote":"def load_strategy_factory(strategy_path: str):"}]}