supplement on testing and docs

src/model_modules/model_class.py

@@ -82,13 +82,22 @@ class AbstractModelClass(ABC):
 
     @property
     def custom_objects(self) -> Dict:
+        """
+        The custom objects property collects all non-keras utilities that are used in the model class. To load such a
+        customised and already compiled model (e.g. from local disk), this information is required.
+        :return: the custom objects in a dictionary
+        """
         return self.__custom_objects
 
     @custom_objects.setter
     def custom_objects(self, value) -> None:
         self.__custom_objects = value
 
-    def get_settings(self):
+    def get_settings(self) -> Dict:
+        """
+        Get all class attributes that are not protected in the AbstractModelClass as dictionary.
+        :return: all class attributes
+        """
         return dict((k, v) for (k, v) in self.__dict__.items() if not k.startswith("_AbstractModelClass__"))
 
     def set_model(self):
@@ -97,10 +106,17 @@ class AbstractModelClass(ABC):
     def set_loss(self):
         pass
 
-    def set_custom_objects(self, **kwargs):
+    def set_custom_objects(self, **kwargs) -> None:
+        """
+        Set custom objects that are not part of keras framework. These custom objects are needed if an already compiled
+        model is loaded from disk. There is a special treatment for the Padding2D class, which is a base class for
+        different padding types. For a correct behaviour, all supported subclasses are added as custom objects in
+        addition to the given ones.
+        :param kwargs: all custom objects, that should be saved
+        """
         if "Padding2D" in kwargs.keys():
             kwargs.update(kwargs["Padding2D"].allowed_paddings)
-        self.custom_objects.update(kwargs)
+        self.custom_objects = kwargs
 
 
 class MyLittleModel(AbstractModelClass):

test/test_model_modules/test_model_class.py

@@ -5,15 +5,32 @@ from src.model_modules.model_class import AbstractModelClass
 from src.model_modules.model_class import MyPaperModel, MyTowerModel, MyLittleModel, MyBranchedModel
 
 
+class Paddings:
+    allowed_paddings = {"pad1": 34, "another_pad": True}
+
+
+class AbstractModelSubClass(AbstractModelClass):
+
+    def __init__(self):
+        super().__init__()
+        self.test_attr = "testAttr"
+
+
 class TestAbstractModelClass:
 
     @pytest.fixture
     def amc(self):
         return AbstractModelClass()
 
+    @pytest.fixture
+    def amsc(self):
+        return AbstractModelSubClass()
+
     def test_init(self, amc):
         assert amc.model is None
         assert amc.loss is None
+        assert amc.model_name == "AbstractModelClass"
+        assert amc.custom_objects == {}
 
     def test_model_property(self, amc):
         amc.model = keras.Model()
@@ -29,6 +46,23 @@ class TestAbstractModelClass:
         assert hasattr(amc.model, "compile") is True
         assert amc.compile == amc.model.compile
 
+    def test_get_settings(self, amc, amsc):
+        assert amc.get_settings() == {"model_name": "AbstractModelClass"}
+        assert amsc.get_settings() == {"test_attr": "testAttr", "model_name": "AbstractModelSubClass"}
+
+    def test_custom_objects(self, amc):
+        amc.custom_objects = {"Test": 123}
+        assert amc.custom_objects == {"Test": 123}
+
+    def test_set_custom_objects(self, amc):
+        amc.set_custom_objects(Test=22, minor_param="minor")
+        assert amc.custom_objects == {"Test": 22, "minor_param": "minor"}
+        amc.set_custom_objects(Test=2, minor_param1="minor1")
+        assert amc.custom_objects == {"Test": 2, "minor_param1": "minor1"}
+        paddings = Paddings()
+        amc.set_custom_objects(Test=1, Padding2D=paddings)
+        assert amc.custom_objects == {"Test": 1, "Padding2D": paddings, "pad1": 34, "another_pad": True}
+
 
 class TestMyPaperModel: