run pre-commit

Author: basnijholt

adaptive/learner/learnerND.py

@@ -619,7 +619,9 @@ def _is_known_point(self, point):
         ]
 
         def _close(other):
-            return all(abs(a - b) <= tol for (a, b, tol) in zip(point, other, tolerances))
+            return all(
+                abs(a - b) <= tol for (a, b, tol) in zip(point, other, tolerances)
+            )
 
         for existing in self.data.keys():
             if _close(existing):

adaptive/tests/unit/test_learnernd_integration.py

@@ -1,7 +1,7 @@
 import math
 
-import pytest
 import numpy as np
+import pytest
 from scipy.spatial import ConvexHull
 
 from adaptive.learner import LearnerND
@@ -60,9 +60,10 @@ def test_learnerND_log_works():
 
 @pytest.mark.skipif(not with_pandas, reason="pandas is not installed")
 def test_learnerND_resume_after_loading_dataframe_convex_hull(monkeypatch):
-    import pandas
     from types import MethodType
 
+    import pandas
+
     hull_points = [
         (4.375872112626925, 8.917730007820797),
         (4.236547993389047, 6.458941130666561),
@@ -98,7 +99,9 @@ def some_f(xy):
 
     def old_ask_bound_point(self):
         new_point = next(
-            p for p in self._bounds_points if p not in self.data and p not in self.pending_points
+            p
+            for p in self._bounds_points
+            if p not in self.data and p not in self.pending_points
         )
         self.tell_pending(new_point)
         return new_point, np.inf