Highlight that inputs/outputs are ordered

graphix/opengraph.py

@@ -49,8 +49,8 @@ class OpenGraph(NamedTuple):
  :param inside: the underlying graph state
  :param measurements: a dictionary whose key is the ID of a node and the
  value is the measurement at that node
- :param inputs: a set of IDs of the nodes that are inputs to the graph
- :param outputs: a set of IDs of the nodes that are outputs of the graph
+ :param inputs: an ordered list of node IDs that are inputs to the graph
+ :param outputs: an ordered list of node IDs that are outputs of the graph
 
  Example
  -------
@@ -67,8 +67,8 @@ class OpenGraph(NamedTuple):
 
  inside: nx.Graph
  measurements: dict[int, Measurement]
- inputs: list[int]
- outputs: list[int]
+ inputs: list[int] # Inputs are ordered
+ outputs: list[int] # Outputs are ordered
 
  def __eq__(self, other) -> bool:
  """Checks the two open graphs are equal