Fix line lengths for flake8 (#1556)

Author: eddiebergman

autosklearn/ensembles/abstract_ensemble.py

@@ -97,7 +97,7 @@ def predict(
     def get_models_with_weights(
         self, models: Dict[Tuple[int, int, float], BasePipeline]
     ) -> List[Tuple[float, BasePipeline]]:
-        """Return a list of (weight, model) pairs for all models included in the ensemble.
+        """List of (weight, model) pairs for all models included in the ensemble.
 
         Parameters
         ----------

autosklearn/ensembles/multiobjective_dummy_ensemble.py

@@ -211,7 +211,7 @@ def get_selected_model_identifiers(self) -> list[tuple[int, int, float]]:
         return self.pareto_set[0].get_selected_model_identifiers()
 
     def get_validation_performance(self) -> float:
-        """Return validation performance of the ensemble that is best for the 1st metric.
+        """Validation performance of the ensemble that is best for the 1st metric.
 
         Returns
         -------

autosklearn/ensembles/singlebest_ensemble.py

@@ -114,7 +114,7 @@ def __str__(self) -> str:
     def get_models_with_weights(
         self, models: dict[tuple[int, int, float], BasePipeline]
     ) -> list[tuple[float, BasePipeline]]:
-        """Return a list of (weight, model) pairs for the model selected by this ensemble.
+        """List of (weight, model) pairs for the model selected by this ensemble.
 
         Parameters
         ----------

test/conftest.py

@@ -142,8 +142,8 @@ def pytest_runtest_setup(item: Item) -> None:
 
 
 def pytest_sessionstart(session: Session) -> None:
-    """Called after the ``Session`` object has been created and before performing collection
-    and entering the run test loop.
+    """Called after the ``Session`` object has been created and before performing
+    collection and entering the run test loop.
 
     Parameters
     ----------

test/test_estimators/test_estimators.py

@@ -1713,13 +1713,8 @@ def test_autosklearn_anneal(as_frame):
     "dataset_compression", [False, True, {"memory_allocation": 0.2}]
 )
 def test_param_dataset_compression(dataset_compression: Union[bool, Dict[str, Any]]):
-    """We expect this does not get parsed and modified until it gets to the AutoML class,
-    In the meantime, it's value remains whatever was passed in.
-
-    Parameters
-    ----------
-    dataset_compression: Union[bool, Dict[str, Any]
-        The arg to pass to the estimator
+    """We expect this does not get parsed and modified until it gets to the AutoML
+    class, In the meantime, it's value remains whatever was passed in.
 
     Expects
     -------

test/test_pipeline/test_classification.py

@@ -306,7 +306,7 @@ def test_multilabel(self):
         self._test_configurations(configurations_space=cs, dataset=data)
 
     def test_configurations(self):
-        """Tests a non-seeded random set of configurations with default dataset properties
+        """Test non-seeded random sets of configurations with default dataset properties
 
         Expects
         -------