<｜begin▁of▁sentence｜>### Instruction:
Given a directed graph with vertices 0 through 4 and edges represented as pairs [(0, 1), (0, 2), (1, 2), (2, 3), (3, 4), (4, 2)], after performing a community detection algorithm that identifies clusters of connected vertices, use the `Cut.crossing` function in igraph to determine which edges lie between the identified clusters and print a boolean vector where each element indicates whether the corresponding edge crosses between clusters.
### Response:
import igraph as ig

# Initialize a directed graph
edges = [(0, 1), (0, 2), (1, 2), (2, 3), (3, 4), (4, 2)]
vertices = 5

# Create graph from edges and vertices
graph = ig.Graph(edges=edges, directed=True)

# Perform a clustering algorithm (e.g., community_edge_betweenness)
clusters = graph.community_edge_betweenness()

# Convert clustering into a cut
cut = clusters.as_cut()

# Get the crossing edges
crossing_edges = cut.crossing()
print('Crossing edges:', crossing_edges)
<|EOT|>
