From 6ced056df1331916b497d9bf45fc50116dbec186 Mon Sep 17 00:00:00 2001
From: Lars Reimann <mail@larsreimann.com>
Date: Fri, 21 Apr 2023 19:58:32 +0200
Subject: [PATCH] test: order tests like source

---
 .../_table/test_inverse_transform_table.py    |  2 +-
 .../containers/_table/test_transform_table.py | 60 +++++++++----------
 2 files changed, 31 insertions(+), 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
index 84ee05527..8d49a0474 100644
--- 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
index 200740047..59ffe90d3 100644
--- 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)