@@ -50,17 +50,11 @@ def test_avg_std_and_npoints():

 def test_min_npoints():

-    def f(npoints_similar: int):

-        def _f(seed):

-            if seed < npoints_similar:

-                return 0.1 + 1e-8 * random.random()

-            return random.random()

-

-        return _f

-

-    for npoints_similar in range(1, 5):

-        learner = AverageLearner(

-            f(npoints_similar), atol=0.01, rtol=0.01, min_npoints=npoints_similar + 1

-        )

-        simple(learner, lambda l: l.loss() < 1)

-        assert learner.npoints > npoints_similar

+    def f(seed):

+        if seed < 2:  # first two numbers are similar

+            return 0.1 + 1e-8 * random.random()

+        return random.random()

+

+    learner = AverageLearner(f, atol=0.01, rtol=0.01, min_npoints=3)

+    simple(learner, lambda l: l.loss() < 1)

+    assert learner.npoints > 2