<｜begin▁of▁sentence｜>### Instruction:
As a Park Ranger responsible for managing a national park, let's consider a scenario where we need to layout a bipartite graph representing the relationships between different species of animals and their corresponding habitats. To achieve this, we can leverage the layout_bipartite method from the NetworkX library.

Suppose we have data on the connections between various animal species and habitats within the park, including information on which animals inhabit which specific habitats. By utilizing the layout_bipartite function, we can effectively organize the vertices of the graph into two distinct layers representing the animal species and their associated habitats, ensuring a clear visual representation of these relationships within the ecosystem.

This approach not only aids in understanding the interconnectedness between different species and habitats but also supports our conservation efforts by visualizing the delicate balance that exists within the park's ecosystem.
### Response:
from igraph import Graph

# Create an example bipartite graph
# The `types` list indicates the bipartite type (0 or 1) for each vertex
g = Graph.Bipartite([0, 1, 0, 1], [(0, 1), (2, 3)])

# Use layout_bipartite to get the layout
layout = g.layout_bipartite()

# You can now use the layout for plotting or analysis
print(layout.coords)
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