... | ... |
@@ -10,11 +10,11 @@ import numpy as np |
10 | 10 |
from scipy.linalg import norm |
11 | 11 |
from sortedcontainers import SortedSet |
12 | 12 |
|
13 |
-from ..notebook_integration import ensure_holoviews |
|
14 | 13 |
from .base_learner import BaseLearner |
15 | 14 |
from .integrator_coeffs import (b_def, T_left, T_right, ns, hint, |
16 | 15 |
ndiv_max, min_sep, eps, xi, V_inv, |
17 | 16 |
Vcond, alpha, gamma) |
17 |
+from ..notebook_integration import ensure_holoviews |
|
18 | 18 |
|
19 | 19 |
|
20 | 20 |
def _downdate(c, nans, depth): |
... | ... |
@@ -414,7 +414,10 @@ class IntegratorLearner(BaseLearner): |
414 | 414 |
self._stack.append(x) |
415 | 415 |
self.ivals.add(ival) |
416 | 416 |
|
417 |
- def ask(self, n): |
|
417 |
+ def ask(self, n, add_data=True): |
|
418 |
+ if not add_data: |
|
419 |
+ raise NotImplementedError( |
|
420 |
+ "Asking points irreversibly changes the learner's data structure.") |
|
418 | 421 |
points, loss_improvements = self.pop_from_stack(n) |
419 | 422 |
n_left = n - len(points) |
420 | 423 |
while n_left > 0: |