use LinearNDInterpolator

Author: basnijholt

adaptive/learner/learner2D.py

@@ -124,7 +124,7 @@ def uniform_loss(ip: LinearNDInterpolator) -> np.ndarray:
 
 def resolution_loss_function(
     min_distance: float = 0, max_distance: float = 1
-) -> Callable:
+) -> Callable[[LinearNDInterpolator], np.ndarray]:
     """Loss function that is similar to the `default_loss` function, but you
     can set the maximimum and minimum size of a triangle.