Codacy

Author: FilippoOlivo

pina/condition/data_condition.py

@@ -66,26 +66,22 @@ def _get_subclass(input, conditional_variables):
         )
         if is_tensor_input:
             return TensorDataCondition
-        elif is_graph_input:
+        if is_graph_input:
             return GraphDataCondition
-        else:
-            raise ValueError(
-                "Invalid input types. "
-                "Please provide either torch.Tensor or Graph objects."
-            )
+
+        raise ValueError(
+            "Invalid input types. "
+            "Please provide either torch.Tensor or Graph objects."
+        )
 
 
 class TensorDataCondition(DataCondition):
     """
     DataCondition for torch.Tensor input data
     """
 
-    pass
-
 
 class GraphDataCondition(DataCondition):
     """
     DataCondition for Graph/Data input data
     """
-
-    pass

pina/condition/input_equation_condition.py

@@ -60,26 +60,21 @@ def _get_subclass(input, equation):
         )
         if is_tensor_input:
             return InputTensorEquationCondition
-        elif is_graph_input:
+        if is_graph_input:
             return InputGraphEquationCondition
-        else:
-            raise ValueError(
-                "Invalid input types. "
-                "Please provide either torch.Tensor or Graph objects."
-            )
+        raise ValueError(
+            "Invalid input types. "
+            "Please provide either torch.Tensor or Graph objects."
+        )
 
 
 class InputTensorEquationCondition(InputEquationCondition):
     """
     InputEquationCondition subclass for torch.Tensor input data.
     """
 
-    pass
-
 
 class InputGraphEquationCondition(InputEquationCondition):
     """
     InputEquationCondition subclass for Graph input data.
     """
-
-    pass

pina/condition/input_target_condition.py

@@ -66,17 +66,16 @@ def _get_subclass(input, target):
 
         if is_tensor_input and is_tensor_target:
             return TensorInputTensorTargetCondition
-        elif is_tensor_input and is_graph_target:
+        if is_tensor_input and is_graph_target:
             return TensorInputGraphTargetCondition
-        elif is_graph_input and is_tensor_target:
+        if is_graph_input and is_tensor_target:
             return GraphInputTensorTargetCondition
-        elif is_graph_input and is_graph_target:
+        if is_graph_input and is_graph_target:
             return GraphInputGraphTargetCondition
-        else:
-            raise ValueError(
-                "Invalid input and target types. "
-                "Please provide either torch.Tensor or Graph objects."
-            )
+        raise ValueError(
+            "Invalid input and target types. "
+            "Please provide either torch.Tensor or Graph objects."
+        )
 
     def __init__(self, input, target):
         """
@@ -92,30 +91,22 @@ class TensorInputTensorTargetCondition(InputTargetCondition):
     InputTargetCondition subclass for torch.Tensor input and target data.
     """
 
-    pass
-
 
 class TensorInputGraphTargetCondition(InputTargetCondition):
     """
     InputTargetCondition subclass for torch.Tensor input and Graph/Data target
     data.
     """
 
-    pass
-
 
 class GraphInputTensorTargetCondition(InputTargetCondition):
     """
     InputTargetCondition subclass for Graph/Data input and torch.Tensor target
     data.
     """
 
-    pass
-
 
 class GraphInputGraphTargetCondition(InputTargetCondition):
     """
     InputTargetCondition subclass for Graph/Data input and target data.
     """
-
-    pass