{"sources": [{"url": "https://api.imd.fun/artifacts/12606d82ec57ee9fe351945ec520b1ab8d79c8a472ff46b3bce6c5c0693b7b49", "quote": "9253b6f3a49eafc1ed21ad19d9e2c0761c2ff151a6a7aa81e16de83834ad6a1b"}, {"url": "https://api.imd.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557", "quote": "301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686"}, {"url": "https://api.imd.fun/artifacts/48cd6a10f39fc22a79c5f12398474bd65282803d59314819acd586f187015808", "quote": "aa97e7eba379b1d2b77cdbd2778dee053c603ba1c59852f680026c23301600d3"}, {"url": "https://api.imd.fun/artifacts/12606d82ec57ee9fe351945ec520b1ab8d79c8a472ff46b3bce6c5c0693b7b49", "quote": "\"mean_diff\":0.7928862101350057"}, {"url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py", "quote": "BASELINE_VARIANCE = HyperparameterVariance(\n    retail_mean_size_min=19.0,\n    retail_mean_size_max=21.0,\n    vary_retail_mean_size=True,\n    retail_arrival_rate_min=0.6,\n    retail_arrival_rate_max=1.0,\n    vary_retail_arrival_rate=True,\n    gbm_sigma_min=0.000882,\n    gbm_sigma_max=0.001008,\n    vary_gbm_sigma=True,\n)"}, {"url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py", "quote": "rng = np.random.default_rng(seed=i)"}]}