<｜begin▁of▁sentence｜>### Instruction:
Imagine you're designing an intricate wooden table with a top detailed by interconnected patterns that represent the relationships within a family of five members, each member corresponding to a node from 0 to 4 in your design. You're using an approach where you're looking to weave the wood inlays in such a manner that tells you just how much each pair of family members share in terms of common connections—akin to placing hinges that would allow parts of the table to pivot together smoothly.

Now, as a craftsman with a keen eye for both design and relationships, you're particularly interested in the details of the "hinges" between the pair of members labeled 0 and 1, as well as between those labeled 2 and 3. To get this just right, you want to calculate something called a resource allocation index, which is like measuring the potential strength of the hinge based on shared connections, ensuring that each "joint" or connection is not too tight or loose but just perfect.

Can you reinterpret this information within your blueprint so that it reflects the exact precision of the "resource allocation index," down to eight decimal places, for the connections or "hinges" between the members 0 and 1, and between 2 and 3? This meticulous attention to detail is what might set your table apart as not just a piece of furniture but a story of relationships unfolding through the woodwork.
### Response:
import networkx as nx

# Create a complete graph with 5 nodes
g = nx.complete_graph(5)

# Compute the resource allocation index for the specified node pairs
preds = nx.resource_allocation_index(g, [(0, 1), (2, 3)])

# Print the results
for u, v, p in preds:
    print(f"({u}, {v}) -> {p:.8f}")
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