<｜begin▁of▁sentence｜>### Instruction:
Given a directed graph with edges [(0, 1), (0, 2), (1, 2), (1, 3), (2, 3), (2, 4), (3, 4), (3, 5), (4, 5)] and capacities [10, 20, 10, 5, 15, 10, 5, 15, 5, 10] for each edge respectively, can you calculate the maximum flow from the source vertex (0) to the target vertex (5) using igraph's maxflow function?
### Response:
import igraph as ig

# Define the edge list and capacities
capacities = [10, 20, 10, 5, 15, 10, 5, 15, 5, 10]
edges = [(0, 1), (0, 2), (1, 2), (1, 3), (2, 3), (2, 4), (3, 4), (3, 5), (4, 5)]

g = ig.Graph(edges=edges, directed=True)
g.es['capacity'] = capacities

source = 0
target = 5
max_flow = g.maxflow(source, target, capacity='capacity')
print('Maximum flow value from source to target is:', max_flow.value)
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