black reformatting

Author: caenrigen

adaptive/learner/skopt_learner.py

@@ -31,7 +31,7 @@ def __init__(self, function, **kwargs):
         super().__init__(**kwargs)
 
     def tell(self, x, y, fit=True):
-        if hasattr(x, '__iter__'):
+        if hasattr(x, "__iter__"):
             self.pending_points.discard(tuple(x))
             self.data[tuple(x)] = y
             super().tell(x, y, fit)

adaptive/tests/test_skopt_learner.py

@@ -35,12 +35,15 @@ def test_skopt_learner_4D_runs():
     """
 
     def g(x, noise_level=0.1):
-        return np.sin(5 * (x[0] + x[1] + x[2] + x[3])) * (
-            1 - np.tanh(x[0] ** 2 + x[1] ** 2 + x[2] ** 2 + x[3] ** 2)
-        ) + np.random.randn() * noise_level
-
-    learner = SKOptLearner(g, dimensions=[(-2.0, 2.0), (-2.0, 2.0),
-                                            (-2.0, 2.0), (-2.0, 2.0)])
+        return (
+            np.sin(5 * (x[0] + x[1] + x[2] + x[3]))
+            * (1 - np.tanh(x[0] ** 2 + x[1] ** 2 + x[2] ** 2 + x[3] ** 2))
+            + np.random.randn() * noise_level
+        )
+
+    learner = SKOptLearner(
+        g, dimensions=[(-2.0, 2.0), (-2.0, 2.0), (-2.0, 2.0), (-2.0, 2.0)]
+    )
 
     for _ in range(11):
         (x,), _ = learner.ask(1)