non zero random

generator/sampling/weighted_sampler.py

@@ -64,7 +64,7 @@ def __init__(self, config: DictConfig, pipelines: list[Pipeline], weights: dict[
             # self.first_pass = get_numpy_rng().choice(list(self.weights.keys()), len(self.weights),
             #                                          p=normalized_weights, replace=False).tolist()
             self.first_pass = [x[1] for x in sorted(
-                [(math.log(get_random_rng().random()) / weight, k) for k, weight in self.weights.items()], reverse=True)]
+                [(math.log(1 - get_random_rng().random()) / weight, k) for k, weight in self.weights.items()], reverse=True)]
         else:
             self.first_pass = []