refactor: rename get_ordered_inputs_of to be more in line with what it does

- rename to get_ordered_preds_and_inputs_of

concrete/common/debugging/formatting.py

@@ -61,7 +61,7 @@ def format_operation_graph(
 
         # extract predecessors and their ids
         predecessors = []
-        for predecessor, output_idx in op_graph.get_ordered_inputs_of(node):
+        for predecessor, output_idx in op_graph.get_ordered_preds_and_inputs_of(node):
             predecessors.append(f"%{id_map[(predecessor, output_idx)]}")
 
         # start the build the line for the node

concrete/common/mlir/node_converter.py

@@ -134,7 +134,7 @@ class IntermediateNodeConverter:
         if isinstance(self.node, (Add, Mul, Sub, Dot)):
             if self.one_of_the_inputs_is_a_tensor and not self.all_of_the_inputs_are_tensors:
                 to_be_converted = []
-                for (pred, output) in self.op_graph.get_ordered_inputs_of(self.node):
+                for (pred, output) in self.op_graph.get_ordered_preds_and_inputs_of(self.node):
                     inp = pred.outputs[output]
                     if isinstance(inp, TensorValue) and inp.is_scalar:
                         to_be_converted.append(self.nodes_to_mlir_names[pred])

concrete/common/operator_graph.py

@@ -131,14 +131,16 @@ class OPGraph:
             idx_to_pred.update((data["input_idx"], pred) for data in edge_data.values())
         return [idx_to_pred[i] for i in range(len(idx_to_pred))]
 
-    def get_ordered_inputs_of(self, node: IntermediateNode) -> List[Tuple[IntermediateNode, int]]:
-        """Get node inputs ordered by their indices.
+    def get_ordered_preds_and_inputs_of(
+        self, node: IntermediateNode
+    ) -> List[Tuple[IntermediateNode, int]]:
+        """Get node preds and inputs ordered by their indices.
 
         Args:
             node (IntermediateNode): the node for which we want the ordered inputs
 
         Returns:
-            List[Tuple[IntermediateNode, int]]: the ordered list of inputs
+            List[Tuple[IntermediateNode, int]]: the ordered list of preds and inputs
         """
 
         idx_to_inp: Dict[int, Tuple[IntermediateNode, int]] = {}