AtomGraph Visualization should work the same way GroupGraph visualization does.

[CalCraven]

ag = AtomGraph()
gg = GroupGraph()

from Grouper.visualization import visualize

visualize(gg) # works
visualize(ag) # fails

----> 8 visualize(ag)

File [~/Dropbox/Mac/Documents/Vanderbilt/Research/switchable_interfaces_fall/switchables_exploratory/Grouper/Grouper/visualization/visualize_graph.py:26](https://file+.vscode-resource.vscode-cdn.net/Users/calcraven/Dropbox/Mac/Documents/Vanderbilt/Research/switchable_interfaces_fall/switchables_exploratory/testing-packages/fragmentation/~/Dropbox/Mac/Documents/Vanderbilt/Research/switchable_interfaces_fall/switchables_exploratory/Grouper/Grouper/visualization/visualize_graph.py:26), in visualize(group_graph, pos)
     17 """
     18 Visualize a graph with optional custom positioning for nodes.
     19 
   (...)
     23        If None, a default layout will be used.
     24 """
     25 if pos is None:
---> 26     pos = spring_layout(group_graph, iterations=50, k=1.0)
     27 fig, ax = plt.subplots(
     28     figsize=(5, 5),
     29 )
     31 # Set axis limits

File [~/Dropbox/Mac/Documents/Vanderbilt/Research/switchable_interfaces_fall/switchables_exploratory/Grouper/Grouper/visualization/visualize_graph.py:226](https://file+.vscode-resource.vscode-cdn.net/Users/calcraven/Dropbox/Mac/Documents/Vanderbilt/Research/switchable_interfaces_fall/switchables_exploratory/testing-packages/fragmentation/~/Dropbox/Mac/Documents/Vanderbilt/Research/switchable_interfaces_fall/switchables_exploratory/Grouper/Grouper/visualization/visualize_graph.py:226), in spring_layout(group_graph, iterations, k)
    224 # Attractive forces (Hooke's law)
    225 for edge in group_graph.edges:
--> 226     (node1, port1, node2, port2, order) = edge
    227     delta = pos[node1] - pos[node2]
    228     distance = np.linalg.norm(delta) + 1e-4

TypeError: cannot unpack non-iterable int object