<｜begin▁of▁sentence｜>### Instruction:
Imagine you're a network analyst tasked with optimizing communication pathways between departments in a rapidly expanding company. You have two diagrams representing the current setups of two different departments: the first has four desks arranged in a line (Desk 0 connected to Desk 1, then Desk 1 to Desk 2, and finally Desk 2 to Desk 3), while the second department has three desks similarly connected (Desk 0 to Desk 1, Desk 1 to Desk 2). Now, you're curious about how many ways you can potentially reorganize the first department's layout to match the structure of the second department, maintaining the connectivity pattern. To tackle this, you plan to utilize the count_subisomorphisms_vf2 function available in the network analysis toolkit you've been employing.
### Response:
import igraph as ig

# Create first graph
g1 = ig.Graph()
g1.add_vertices(4)
g1.add_edges([(0,1), (1,2), (2,3)])

# Create second graph
g2 = ig.Graph()
g2.add_vertices(3)
g2.add_edges([(0,1), (1,2)])

# count the subisomorphisms
num_subisomorphisms = g1.count_subisomorphisms_vf2(g2)
print(f'Number of subisomorphisms: {num_subisomorphisms}')
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