<｜begin▁of▁sentence｜>### Instruction:
Given a directed graph with edge set [('A', 'C'), ('C', 'D'), ('D', 'A'), ('B', 'C'), ('D', 'B')], can you compute the flow hierarchy, which represents the fraction of edges not participating in cycles?
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph()

# Add edges to the graph (edges could represent any flow, like traffic, goods, information, etc.)
G.add_edges_from([('A', 'C'), ('C', 'D'), ('D', 'A'), ('B', 'C'), ('D', 'B')])

# Calculate the flow hierarchy
hierarchy = nx.flow_hierarchy(G)

# Print the flow hierarchy
print('Flow hierarchy of the directed graph:', hierarchy)
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