<｜begin▁of▁sentence｜>### Instruction:
As an environmental scientist, I often assess and manage environmental impacts and risks. In this scenario, imagine that we need to evaluate the impact of introducing a new species of plant into an existing ecosystem. The ecosystem can be represented as a network of interconnected plant species, where vertices represent plants and the edges represent interactions between the plants. Additionally, each plant species is assigned a color based on its traits and the edges are assigned colors based on the type of interaction between the plants.

In this case, we have two eco-networks, G1 and G2, each with its own set of plant species and interactions (edges). We want to determine if G1 contains a sub-ecosystem that is isomorphic to G2, considering the plant species as vertices and the interactions as edges, taking into account the assigned colors for the vertices and edges. The task is to identify and map the plant species from G1 to G2 and vice versa to assess the potential impact of introducing the new plant species.
### Response:
from igraph import Graph

# Create two graphs to compare
G1 = Graph([(0, 1), (1, 2), (2, 3)])
G2 = Graph([(0, 1), (1, 2)])

# Optionally define vertex and edge colors
vertex_color1 = [1, 1, 2, 2]
vertex_color2 = [1, 1]
edge_color1 = [1, 1, 1]
edge_color2 = [1, 1]

# Check subgraph isomorphism
iso = G1.subisomorphic_vf2(G2, color1=vertex_color1, color2=vertex_color2, edge_color1=edge_color1, edge_color2=edge_color2, return_mapping_12=True, return_mapping_21=True)

# Print the result and the mappings
print(iso)
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