Black formatting

Author: FilippoOlivo

pina/condition/condition_interface.py

@@ -45,7 +45,7 @@ def _check_graph_list_consistency(data_list):
         objects is consistent.
 
         :param data_list: List of graph type objects.
-        :type data_list: torch_geometric.data.Data | Graph| 
+        :type data_list: torch_geometric.data.Data | Graph|
             list[torch_geometric.data.Data] | list[Graph]
 
         :raises ValueError: Input data must be either torch_geometric.data.Data

pina/condition/data_condition.py

@@ -26,8 +26,8 @@ def __new__(cls, input, conditional_variables=None):
         types of input data.
 
         :param input: Input data for the condition.
-        :type input: torch.Tensor | LabelTensor | Graph | 
-            torch_geometric.data.Data | list[Graph] | 
+        :type input: torch.Tensor | LabelTensor | Graph |
+            torch_geometric.data.Data | list[Graph] |
             list[torch_geometric.data.Data] | tuple[Graph] |
             tuple[torch_geometric.data.Data]
         :param conditional_variables: Conditional variables for the condition.
@@ -63,8 +63,8 @@ def __init__(self, input, conditional_variables=None):
         variables (if any).
 
         :param input: Input data for the condition.
-        :type input: torch.Tensor | LabelTensor | Graph | 
-            torch_geometric.data.Data | list[Graph] | 
+        :type input: torch.Tensor | LabelTensor | Graph |
+            torch_geometric.data.Data | list[Graph] |
             list[torch_geometric.data.Data] | tuple[Graph] |
             tuple[torch_geometric.data.Data]
         :param conditional_variables: Conditional variables for the condition.

pina/condition/input_target_condition.py

@@ -85,13 +85,13 @@ def __init__(self, input, target):
         Initialize the InputTargetCondition, storing the input and target data.
 
         :param input: Input data for the condition.
-        :type input: torch.Tensor | LabelTensor | Graph | 
-            torch_geometric.data.Data | list[Graph] | 
+        :type input: torch.Tensor | LabelTensor | Graph |
+            torch_geometric.data.Data | list[Graph] |
             list[torch_geometric.data.Data] | tuple[Graph] |
             tuple[torch_geometric.data.Data]
         :param target: Target data for the condition.
-        :type target: torch.Tensor | LabelTensor | Graph | 
-            torch_geometric.data.Data | list[Graph] | 
+        :type target: torch.Tensor | LabelTensor | Graph |
+            torch_geometric.data.Data | list[Graph] |
             list[torch_geometric.data.Data] | tuple[Graph] |
             tuple[torch_geometric.data.Data]
 

pina/label_tensor.py

@@ -668,7 +668,7 @@ def summation(tensors):
         Computes the summation of a list of :class:`LabelTensor` instances.
 
 
-        :param list[LabelTensor] tensors: A list of tensors to sum. All 
+        :param list[LabelTensor] tensors: A list of tensors to sum. All
             tensors must have the same shape and labels.
         :return: A new `LabelTensor` containing the element-wise sum of the
                  input tensors.