<｜begin▁of▁sentence｜>### Instruction:
As a civil engineer, imagine you're tasked with overseeing the logistics of traffic flow in a newly developed block where four major intersections are linked with roads, creating a circuit. The intersections are denoted as points 1, 2, 3, and 4, with current direct road connections from 1 to 2, 2 to 3, 3 to 4, and finally 4 back to 1, forming a closed loop.

To improve traffic distribution and maintain orderly congestion management without altering the number of roads each intersection handles, we're considering a strategic change to the road interconnections akin to a 'double-edge swap' in network theory. In practice, this would mean reassigning two existing roads (without constructing or removing any) so that each intersection still connects to two others, as before.

Could you conceptualize how the road map might change after applying such a strategy? What new set of intersection connections (roads) would you suggest that preserves the same degree of connectivity for each point, yet reconfigures the current network? Please embed the traffic network data into your scenario without altering its fundamental characteristics.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 1)])

# Perform 1 double-edge swap with a maximum of 10 attempts
nx.double_edge_swap(G, nswap=1, max_tries=10)

print(G.edges())
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