<｜begin▁of▁sentence｜>### Instruction:
As a Virtual Reality Developer, you might encounter scenarios where you need to compare different virtual environments to ensure consistency or compatibility. Let's say you're working on two VR simulations, each representing a unique environment, such as a forest and a desert. Each environment is represented as a graph, with nodes and connections defining its elements and interactions.

In this case, let's call the forest simulation "ForestVR" and the desert simulation "DesertVR". Now, imagine you've assigned different colors to various elements within each environment to differentiate them visually. For instance, trees in the forest might be colored green (1), while cacti in the desert could be colored brown (2).

Now, the challenge arises when you need to compare the structures of these environments, considering both their connections (edges) and the colors assigned to their elements (vertices). To accomplish this, you want to determine how many isomorphic mappings exist between ForestVR and DesertVR while taking into account their vertex colorings.

To tackle this task efficiently, you can utilize the `count_isomorphisms_vf2` function from the `igraph` API. This function allows you to analyze the graphs of both environments along with their vertex colorings to compute the number of isomorphisms between them. By doing so, you can ensure consistency in your VR experiences across different environments, ensuring a seamless transition for users between simulations.
### Response:
import igraph as ig

# Define two graphs, g1 and g2
edges_g1 = [(0, 1), (1, 2), (2, 0)]
g1 = ig.Graph(edges=edges_g1)

edges_g2 = [(0, 1), (1, 2), (2, 0)]
g2 = ig.Graph(edges=edges_g2)

color1 = [1, 2, 3]
color2 = [1, 2, 3]

# Count isomorphisms between g1 and g2
iso_count = g1.count_isomorphisms_vf2(other=g2, color1=color1, color2=color2)

print('Number of isomorphisms:', iso_count)
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