<｜begin▁of▁sentence｜>### Instruction:
Imagine we've embarked on a project to conserve a specific ecosystem, and within this environment, we have observed interactions between various species that can be represented as a network. The interactions are as follows: a pair of birds (0, 1), a predator-prey connection between a bird and a small mammal (1, 2), a competition link between two mammals (2, 3), a symbiotic relationship between an insect and a bird (3, 0), an insect pollinating a plant (0, 4), seed dispersal from the plant to new locations (4, 5), and a nutrient cycle involving a decomposer and a plant (5, 3).

Now, to better understand and manage the conservation of this intricate web of life, we are considering segmenting this network into two distinct communities using the Fluid Communities algorithm. This division might reflect natural divisions in the habitat or relationships that exist within this ecosystem. Could you delineate for us how the species would be grouped into these two communities considering the aforementioned interactions?
### Response:
import networkx as nx
from networkx.algorithms.community.asyn_fluid import asyn_fluidc

# Create a graph
G = nx.Graph()
G.add_edges_from([(0, 1), (1, 2), (2, 3), (3, 0), (0, 4), (4, 5), (5, 3)])

# Find communities with fluid communities algorithm
communities = asyn_fluidc(G, k=2)

# Print the communities
for community in communities:
    print(sorted(community))
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