{"sources":[{"url":"https://api.imd.fun/artifacts/3d001532cce4c2885307bb007a5170f77dd4b2f8151d041696e04a1c60a0f475","quote":"\"code_sha256\":\"cb6d945511e1e10af78baa64c2a6cb25806f0998403ce6440654bfc3c70092d9\""},{"url":"https://api.imd.fun/artifacts/afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557","quote":"\"code_sha256\":\"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686\""},{"url":"https://api.imd.fun/artifacts/48cd6a10f39fc22a79c5f12398474bd65282803d59314819acd586f187015808","quote":"\"sim_sha256\":\"aa97e7eba379b1d2b77cdbd2778dee053c603ba1c59852f680026c23301600d3\""},{"url":"https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py","quote":"            retail_mean_size = (\n                rng.uniform(self.variance.retail_mean_size_min, self.variance.retail_mean_size_max)\n                if self.variance.vary_retail_mean_size\n                else self.base_config.retail_mean_size\n            )"}]}