test: order tests like source

Safe-DS · Apr 21, 2023 · 6ced056 · 6ced056
1 parent d4b8156
commit 6ced056
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Showing 2 changed files with 31 additions and 31 deletions.
diff --git a/tests/safeds/data/tabular/containers/_table/test_inverse_transform_table.py b/tests/safeds/data/tabular/containers/_table/test_inverse_transform_table.py
@@ -4,7 +4,7 @@
 from safeds.data.tabular.transformation import OneHotEncoder
 
 
-class TestInverseTransformTableOnOneHotEncoder:
+class TestInverseTransformTable:
     @pytest.mark.parametrize(
         ("table_to_fit", "column_names", "table_to_transform"),
         [

diff --git a/tests/safeds/data/tabular/containers/_table/test_transform_table.py b/tests/safeds/data/tabular/containers/_table/test_transform_table.py
@@ -5,36 +5,6 @@
 
 
 class TestTransform:
-    def test_should_raise_if_column_not_found(self) -> None:
-        table_to_fit = Table.from_dict(
-            {
-                "col1": ["a", "b", "c"],
-            },
-        )
-
-        transformer = OneHotEncoder().fit(table_to_fit, None)
-
-        table_to_transform = Table.from_dict(
-            {
-                "col2": ["a", "b", "c"],
-            },
-        )
-
-        with pytest.raises(UnknownColumnNameError):
-            table_to_transform.transform_table(transformer)
-
-    def test_should_raise_if_not_fitted(self) -> None:
-        table = Table.from_dict(
-            {
-                "col1": ["a", "b", "c"],
-            },
-        )
-
-        transformer = OneHotEncoder()
-
-        with pytest.raises(TransformerNotFittedError):
-            table.transform_table(transformer)
-
     @pytest.mark.parametrize(
         ("table", "column_names", "expected"),
         [
@@ -118,3 +88,33 @@ def test_should_not_change_original_table(self) -> None:
         )
 
         assert table == expected
+
+    def test_should_raise_if_column_not_found(self) -> None:
+        table_to_fit = Table.from_dict(
+            {
+                "col1": ["a", "b", "c"],
+            },
+        )
+
+        transformer = OneHotEncoder().fit(table_to_fit, None)
+
+        table_to_transform = Table.from_dict(
+            {
+                "col2": ["a", "b", "c"],
+            },
+        )
+
+        with pytest.raises(UnknownColumnNameError):
+            table_to_transform.transform_table(transformer)
+
+    def test_should_raise_if_not_fitted(self) -> None:
+        table = Table.from_dict(
+            {
+                "col1": ["a", "b", "c"],
+            },
+        )
+
+        transformer = OneHotEncoder()
+
+        with pytest.raises(TransformerNotFittedError):
+            table.transform_table(transformer)