fmt: fixes some linting issues
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@ -192,6 +192,9 @@ class BayesRunWithSubspaceSimulation:
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likelihoods: List[float] = []
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for (name, result) in zip(self.model_names, results):
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if result.over_target_likelihood is None:
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_logger.error("got a none result, bye")
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return
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likelihoods.append(result.over_target_likelihood)
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row[f"{name}_likelihood"] = result.over_target_likelihood
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@ -114,7 +114,7 @@ class SubsetSimulation:
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mcmc_rng = numpy.random.default_rng(self.mcmc_seed)
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for i in range(self.m_max):
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next_seeds = all_chains[-self.n_c :]
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next_seeds = all_chains[-self.n_c:]
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for cost_index, cost_chain in enumerate(all_chains[: -self.n_c]):
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probs_list.append(
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