2D: remove other occurrences of learner.ip()

Author: basnijholt

adaptive/tests/test_learners.py

@@ -400,7 +400,9 @@ def test_expected_loss_improvement_is_less_than_total_loss(
     _, loss_improvements = learner.ask(M)
 
     if learner_type is Learner2D:
-        assert sum(loss_improvements) < sum(learner.loss_per_triangle(learner.ip()))
+        assert sum(loss_improvements) < sum(
+            learner.loss_per_triangle(learner.interpolator(scaled=True))
+        )
     elif learner_type is Learner1D:
         assert sum(loss_improvements) < sum(learner.losses.values())
     elif learner_type is AverageLearner:

docs/logo.py

@@ -28,7 +28,7 @@ def ring(xy):
 
 def plot_learner_and_save(learner, fname):
     fig, ax = plt.subplots()
-    tri = learner.ip().tri
+    tri = learner.interpolator(scaled=True).tri
     triang = mtri.Triangulation(*tri.points.T, triangles=tri.vertices)
     ax.triplot(triang, c="k", lw=0.8)
     ax.imshow(learner.plot().Image.I.data, extent=(-0.5, 0.5, -0.5, 0.5))