<｜begin▁of▁sentence｜>### Instruction:
As a green architect, imagine you're deeply involved in the design of two separate eco-communities, each represented by a unique topology of sustainable structures, which for analysis purposes, we've abstracted into interaction networks of energy flow. In the first community, Ecotopia A, the energy exchange network is mapped out with connections between structures 1-2, 2-3, and 3-1. Meanwhile, in Ecotopia B, a similar energy exchange framework has been outlined with ties between structures 4-5, 5-6, and 6-4.

To ensure the scalability of our green designs, we're interested in scrutinizing whether the energy flow networks in Ecotopia A and B are structurally similar to the extent that they can be interchanged without loss of efficiency or sustainability. Could you then assess the potential isomorphic relationships between these two ecological networks, pinpointing all possible direct mappings of energy flow structures that would preserve their interchangeability? This analysis is crucial as it could greatly inform the replicability of our sustainable solutions across future projects.
### Response:
import networkx as nx

# Create two graphs G1 and G2
g1 = nx.Graph()
g2 = nx.Graph()

g1.add_edges_from([(1, 2), (2, 3), (3, 1)])
g2.add_edges_from([(4, 5), (5, 6), (6, 4)])

# Use the vf2pp_all_isomorphisms function to find all isomorphic mappings
isomorphisms = list(nx.algorithms.isomorphism.vf2pp_all_isomorphisms(g1, g2))

# Print all isomorphisms
for iso in isomorphisms:
    print(iso)
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