<｜begin▁of▁sentence｜>### Instruction:
As a talent agent representing a group of musicians who have multiple collaborative projects, I need to visually represent their interconnected relationships in a directed graph. However, with multiple edges between some pairs of musicians, the resulting graph can become cluttered and difficult to interpret. I am seeking guidance on how to utilize the autocurve function in the igraph API to automatically calculate curvature values and assign them to the edges, thereby enhancing the clarity of the graph plot and making the musicians' collaborations more visually accessible.
### Response:
import igraph as ig

# Create a graph with multiple edges
g = ig.Graph(
  [(0, 1), (0, 1), (1, 2), (1, 2), (2, 3), (3, 4), (4, 0)],
  directed=True,
  multiple=True
)

# Automatically calculate curvature values and assign them to edges
g.autocurve(attribute='curvature')

# Print the curvature values for each edge
print(g.es['curvature'])
<|EOT|>
