<｜begin▁of▁sentence｜>### Instruction:
As a mediator, you've been tasked with facilitating the negotiation and resolution of a dispute involving network connections within a company's infrastructure. The company's network consists of several interconnected devices, represented as a directed graph with specific capacities for data transfer along the connections. Using the igraph library, you need to determine the maximum flow from a source device (vertex 0) to a destination device (vertex 3). Additionally, you're required to identify the flow values on the edges, the minimum cut edges, and the devices on one side of the minimum cut to optimize the network's efficiency.
### Response:
import igraph as ig

# Create a graph with directed edges and their corresponding capacities
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3), (0, 3)], directed=True)
g.es['capacity'] = [10, 5, 15, 4]

# Calculate the maximum flow from vertex 0 to vertex 3
max_flow, flow_values, min_cut_edges, min_cut_vertices = g.maxflow(source=0, target=3, capacity='capacity')

# Display the results
print('Maximum flow:', max_flow)
print('Flow values on edges:', flow_values)
print('Edge IDs in the min cut:', min_cut_edges)
print('Vertices on one side of the min cut:', min_cut_vertices)
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