require 'npoints', 'pending_points', and 'data' in the BaseLearner

Author: basnijholt

adaptive/learner/base_learner.py

@@ -4,7 +4,7 @@
 from contextlib import suppress
 from copy import deepcopy
 
-from adaptive.utils import load, save
+from adaptive.utils import load, save, _RequireAttrsABCMeta
 
 
 def uses_nth_neighbors(n):
@@ -61,7 +61,7 @@ def _wrapped(loss_per_interval):
     return _wrapped
 
 
-class BaseLearner(metaclass=abc.ABCMeta):
+class BaseLearner(metaclass=_RequireAttrsABCMeta):
     """Base class for algorithms for learning a function 'f: X → Y'.
 
     Attributes
@@ -85,6 +85,8 @@ class BaseLearner(metaclass=abc.ABCMeta):
     and returns a holoviews plot.
     """
 
+    required_attributes = ["data", "npoints", "pending_points"]
+
     def tell(self, x, y):
         """Tell the learner about a single value.