<｜begin▁of▁sentence｜>### Instruction:
As a DJ, you're tasked with curating the perfect playlist to keep the party going. Imagine you're hosting a special event where you need to create a dynamic musical journey, guiding guests from one vibe to the next seamlessly. You've carefully constructed a network of tracks, each connected by their compatibility and energy levels, represented as edges with assigned capacities. To translate this into technical terms, you have a graph stored in 'graph33.gml', with each edge representing a transition between songs with specified capacities. Now, you need to utilize the `write_dimacs` function to export this musical graph into a DIMACS format file, ensuring that you specify the starting source and ending target tracks. This will enable you to craft the ultimate playlist experience, ensuring that each transition flows smoothly and energetically, keeping your audience grooving all night long.
### Response:
from igraph import Graph

# Load a graph
graph = Graph.Read_GML('graph33.gml')

# Assign capacities to edges
graph.es['capacity'] = [2, 1, 3, 4, 5]  # Example capacities

# Write the graph to a DIMACS format file
graph.write_dimacs(f='output.dimacs', source=0, target=5, capacity='capacity')
<|EOT|>
