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python-adaptive · Oct 3, 2023 · 77575d3 · 77575d3
1 parent 700b862
commit 77575d3
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diff --git a/adaptive/learner/average_learner1D.py b/adaptive/learner/average_learner1D.py
@@ -310,7 +310,7 @@ def _ask_for_new_point(self, n: int) -> tuple[Points, list[float]]:
         new point, since in general n << min_samples and this point will need
         to be resampled many more times"""
         points, (loss_improvement,) = self._ask_points_without_adding(1)
-        seed_points = [(seed, x) for seed, x in zip(range(n), n * points)]
+        seed_points = list(zip(range(n), n * points))
         loss_improvements = [loss_improvement / n] * n
         return seed_points, loss_improvements  # type: ignore[return-value]
 

diff --git a/adaptive/learner/learner1D.py b/adaptive/learner/learner1D.py
@@ -135,7 +135,7 @@ def triangle_loss(xs: XsType1, ys: YsType1) -> Float:
         pts = [(x, *y) for x, y in zip(xs, ys)]  # type: ignore[misc]
         vol = simplex_volume_in_embedding
     else:
-        pts = [(x, y) for x, y in zip(xs, ys)]
+        pts = list(zip(xs, ys))
         vol = volume
     return sum(vol(pts[i : i + 3]) for i in range(N)) / N