fixes

adaptive/learner/learner2D.py

@@ -15,6 +15,7 @@
 from adaptive.learner.base_learner import BaseLearner
 from adaptive.learner.triangulation import simplex_volume_in_embedding
 from adaptive.notebook_integration import ensure_holoviews
+from adaptive.types import Bool
 from adaptive.utils import (
     assign_defaults,
     cache_latest,
@@ -530,7 +531,9 @@ def bounds_are_done(self) -> bool:
             (p in self.pending_points or p in self._stack) for p in self._bounds_points
         )
 
-    def interpolated_on_grid(self, n=None):
+    def interpolated_on_grid(
+        self, n: int = None
+    ) -> tuple[np.ndarray, np.ndarray, np.ndarray]:
         """Get the interpolated data on a grid.
 
         Parameters
@@ -593,7 +596,7 @@ def _data_combined(self) -> tuple[np.ndarray, np.ndarray]:
         values_combined = np.vstack([values, values_interp])
         return points_combined, values_combined
 
-    def ip(self):
+    def ip(self) -> LinearNDInterpolator:
         """Deprecated, use `self.interpolator(scaled=True)`"""
         warnings.warn(
             "`learner.ip()` is deprecated, use `learner.interpolator(scaled=True)`."
@@ -643,7 +646,7 @@ def _interpolator_combined(self) -> LinearNDInterpolator:
             self._ip_combined = interpolate.LinearNDInterpolator(points, values)
         return self._ip_combined
 
-    def inside_bounds(self, xy: tuple[float, float]) -> bool | np.bool_:
+    def inside_bounds(self, xy: tuple[float, float]) -> Bool:
         x, y = xy
         (xmin, xmax), (ymin, ymax) = self.bounds
         return xmin <= x <= xmax and ymin <= y <= ymax

adaptive/learner/learnerND.py

@@ -25,6 +25,7 @@
     simplex_volume_in_embedding,
 )
 from adaptive.notebook_integration import ensure_holoviews, ensure_plotly
+from adaptive.types import Bool
 from adaptive.utils import (
     assign_defaults,
     cache_latest,
@@ -574,7 +575,7 @@ def _simplex_exists(self, simplex: Simplex) -> bool:
         simplex = tuple(sorted(simplex))
         return simplex in self.tri.simplices
 
-    def inside_bounds(self, point: tuple[float, ...]) -> bool | np.bool_:
+    def inside_bounds(self, point: tuple[float, ...]) -> Bool:
         """Check whether a point is inside the bounds."""
         if self._interior is not None:
             return self._interior.find_simplex(point, tol=1e-8) >= 0