<｜begin▁of▁sentence｜>### Instruction:
Suppose you have two MultiDiGraph objects that represent different state transitions in a system. One graph represents the current state transitions, while the other describes an updated set of transitions that overlaps with the current one. How would you create a read-only view that shows the combined transitions of both graphs?
### Response:
import networkx as nx

# Create two MultiDiGraphs
g1 = nx.MultiDiGraph()
g1.add_edge('A', 'B', key='k1', weight=1)
g1.add_edge('A', 'B', key='k2', weight=2)

# Create another MultiDiGraph with some overlapping edges
g2 = nx.MultiDiGraph()
g2.add_edge('A', 'B', key='k2', weight=3)
g2.add_edge('B', 'C', key='k1', weight=4)

# Create the union adjacency
union_adj = nx.classes.coreviews.unionmultiadjacency(g1._succ, g2._succ)

# Access the UnionAdjacency to get combined edges from both graphs
# It will print a dictionary containing all edges with their attributes
print(dict(union_adj['A']['B']))
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