rerun pre-commit on all files

Author: basnijholt

adaptive/tests/test_cquad.py

@@ -242,7 +242,7 @@ def test_approximating_intervals():
 @pytest.mark.xfail
 def test_removed_choose_mutiple_points_at_once():
     """Given that a high-precision interval that was split into 2 low-precision ones,
-       we should use the high-precision interval.
+    we should use the high-precision interval.
     """
     learner = IntegratorLearner(np.exp, bounds=(0, 1), tol=1e-15)
     n = ns[-1] + 2 * (ns[0] - 2)  # first + two children (33+6=39)

adaptive/tests/test_learners.py

@@ -626,6 +626,6 @@ def test_convergence_for_arbitrary_ordering(learner_type, f, learner_kwargs):
 @run_with(Learner1D, Learner2D, LearnerND)
 def test_learner_subdomain(learner_type, f, learner_kwargs):
     """Learners that never receive data outside of a subdomain should
-       perform 'similarly' to learners defined on that subdomain only."""
+    perform 'similarly' to learners defined on that subdomain only."""
     # XXX: not sure how to implement this. How do we measure "performance"?
     raise NotImplementedError()

adaptive/tests/test_pickling.py

@@ -86,9 +86,7 @@ def balancing_learner(f, learner_type, learner_kwargs):
 ]
 
 
-@pytest.mark.parametrize(
-    "learner_type, learner_kwargs, serializer, f", learners,
-)
+@pytest.mark.parametrize("learner_type, learner_kwargs, serializer, f", learners)
 def test_serialization_for(learner_type, learner_kwargs, serializer, f):
     """Test serializing a learner using different serializers."""
 

adaptive/tests/test_skopt_learner.py

@@ -12,7 +12,7 @@
 @pytest.mark.skipif(not with_scikit_optimize, reason="scikit-optimize is not installed")
 def test_skopt_learner_runs():
     """The SKOptLearner provides very few guarantees about its
-       behaviour, so we only test the most basic usage
+    behaviour, so we only test the most basic usage
     """
 
     def g(x, noise_level=0.1):
@@ -28,8 +28,8 @@ def g(x, noise_level=0.1):
 @pytest.mark.skipif(not with_scikit_optimize, reason="scikit-optimize is not installed")
 def test_skopt_learner_4D_runs():
     """The SKOptLearner provides very few guarantees about its
-       behaviour, so we only test the most basic usage
-       In this case we test also for 4D domain
+    behaviour, so we only test the most basic usage
+    In this case we test also for 4D domain
     """
 
     def g(x, noise_level=0.1):