refactor(g05): keep recipe runtime unchanged

tests/configs/test_recipe.py

@@ -47,17 +47,6 @@ def test_message_turn_requires_a_stream():
         MessageTurn(role="user", content="${task}")
 
 
-@pytest.mark.parametrize("dropout", [-0.1, 1.1, float("inf"), float("nan")])
-def test_message_turn_rejects_invalid_dropout(dropout):
-    with pytest.raises(ValueError, match="between 0 and 1"):
-        MessageTurn(role="user", content="${task}", stream="high_level", dropout=dropout)
-
-
-def test_message_turn_rejects_non_numeric_dropout():
-    with pytest.raises(TypeError, match="probability"):
-        MessageTurn(role="user", content="${task}", stream="high_level", dropout="half")
-
-
 def test_message_recipe_requires_at_least_one_target():
     with pytest.raises(ValueError, match="target"):
         TrainingRecipe(
@@ -163,7 +152,7 @@ def test_from_dict_with_nested_blend():
     assert isinstance(recipe.blend["a"].messages[0], MessageTurn)
 
 
-def test_message_dropout_round_trips_from_dict():
+def test_message_if_present_round_trips_from_dict():
     recipe = TrainingRecipe.from_dict(
         {
             "messages": [
@@ -174,13 +163,11 @@ def test_message_dropout_round_trips_from_dict():
                     "stream": "low_level",
                     "target": True,
                     "if_present": "subtask",
-                    "dropout": 0.5,
                 },
             ]
         }
     )
 
-    assert recipe.messages[1].dropout == 0.5
     assert recipe.messages[1].if_present == "subtask"