format rebase

tests/test_classifiers.py

@@ -282,12 +282,12 @@ def test_classifiers(test_case: ClassifierTestCase, subtests: SubTests):
     print(f"{actual_acc}")
     print(f"{actual_win_acc}")
 
-    assert (
-        actual_acc == pytest.approx(test_case.accuracy, abs=0.1)
-    ), f"Basic Eval: Expected accuracy of {test_case.accuracy:0.1f} got {actual_acc: 0.1f}"
-    assert (
-        actual_win_acc == pytest.approx(test_case.win_accuracy, abs=0.1)
-    ), f"Windowed Eval: Expected accuracy of {test_case.win_accuracy:0.1f} got {actual_win_acc:0.1f}"
+    assert actual_acc == pytest.approx(test_case.accuracy, abs=0.1), (
+        f"Basic Eval: Expected accuracy of {test_case.accuracy:0.1f} got {actual_acc: 0.1f}"
+    )
+    assert actual_win_acc == pytest.approx(test_case.win_accuracy, abs=0.1), (
+        f"Windowed Eval: Expected accuracy of {test_case.win_accuracy:0.1f} got {actual_win_acc:0.1f}"
+    )
 
     # Check if the classifier can be saved and loaded
     with subtests.test(msg="save_and_load"):

tests/test_misc.py

@@ -2,7 +2,6 @@
 from capymoa.datasets import ElectricityTiny
 from capymoa.misc import legacy_save_model, legacy_load_model, load_model
 from tempfile import TemporaryDirectory
-from jpype import JException
 import pytest
 
 

tests/test_regressors.py

@@ -124,12 +124,12 @@ def test_regressor(subtests: SubTests, learner_constructor, rmse, win_rmse):
 
     actual_rmse = evaluator.rmse()
     actual_win_rmse = win_evaluator.rmse()[-1]
-    assert actual_rmse == pytest.approx(
-        rmse, abs=0.1
-    ), f"Basic Eval: Expected {rmse:0.1f} RMSE got {actual_rmse: 0.1f} RMSE"
-    assert actual_win_rmse == pytest.approx(
-        win_rmse, abs=0.1
-    ), f"Windowed Eval: Expected {win_rmse:0.1f} RMSE got {actual_win_rmse:0.1f} RMSE"
+    assert actual_rmse == pytest.approx(rmse, abs=0.1), (
+        f"Basic Eval: Expected {rmse:0.1f} RMSE got {actual_rmse: 0.1f} RMSE"
+    )
+    assert actual_win_rmse == pytest.approx(win_rmse, abs=0.1), (
+        f"Windowed Eval: Expected {win_rmse:0.1f} RMSE got {actual_win_rmse:0.1f} RMSE"
+    )
 
     with subtests.test(msg="save_and_load"):
         subtest_save_and_load(learner, stream, True)