fix: added the missing ids in parameterized tests

tests/safeds/data/tabular/transformation/test_imputer.py

@@ -30,6 +30,7 @@ class TestStr:
                 (Imputer.Strategy.Median(), "Median"),
                 (Imputer.Strategy.Mode(), "Mode"),
             ],
+            ids=["Constant", "Mean", "Median", "Mode"],
         )
         def test_should_return_correct_string_representation(self, strategy: ImputerStrategy, expected: str) -> None:
             assert str(strategy) == expected

tests/safeds/data/tabular/transformation/test_label_encoder.py

@@ -130,6 +130,7 @@ class TestFitAndTransform:
                 ),
             ),
         ],
+        ids=["no_column_names", "with_column_names"],
     )
     def test_should_return_transformed_table(
         self,
@@ -205,6 +206,7 @@ class TestInverseTransform:
                 },
             ),
         ],
+        ids=["no_column_names"],
     )
     def test_should_return_original_table(self, table: Table) -> None:
         transformer = LabelEncoder().fit(table, None)

tests/safeds/data/tabular/transformation/test_range_scaler.py

@@ -142,6 +142,7 @@ class TestFitAndTransform:
                 ),
             ),
         ],
+        ids=["one_column", "two_columns"],
     )
     def test_should_return_transformed_table(
         self,
@@ -183,6 +184,7 @@ def test_should_return_transformed_table(
                 ),
             ),
         ],
+        ids=["one_column", "two_columns"],
     )
     def test_should_return_transformed_table_with_correct_range(
         self,

tests/safeds/data/tabular/transformation/test_standard_scaler.py

@@ -143,6 +143,7 @@ class TestFitAndTransformOnMultipleTables:
                 ),
             ),
         ],
+        ids=["two columns"],
     )
     def test_should_return_transformed_tables(
         self,
@@ -224,6 +225,7 @@ class TestInverseTransform:
                 },
             ),
         ],
+        ids=["one column"],
     )
     def test_should_return_original_table(self, table: Table) -> None:
         transformer = StandardScaler().fit(table, None)

tests/safeds/ml/classical/regression/test_regressor.py

@@ -346,6 +346,7 @@ class TestMeanSquaredError:
     @pytest.mark.parametrize(
         ("predicted", "expected", "result"),
         [([1, 2], [1, 2], 0), ([0, 0], [1, 1], 1), ([1, 1, 1], [2, 2, 11], 34)],
+        ids=["perfect_prediction", "bad_prediction", "worst_prediction"],
     )
     def test_valid_data(self, predicted: list[float], expected: list[float], result: float) -> None:
         table = Table({"predicted": predicted, "expected": expected}).tag_columns(