<｜begin▁of▁sentence｜>### Instruction:
Using the networkx library's triangles function, compute the number of triangles that include each node in a complete graph of 5 nodes. Perform this computation for a specific node (node 0), for all nodes, and for a specified subset of nodes (node 0 and node 1).
### Response:
import networkx as nx

# Create a complete graph
g = nx.complete_graph(5)

# Compute the number of triangles for node 0
triangles_node_0 = nx.triangles(g, 0)
print('Number of triangles for node 0:', triangles_node_0)

# Compute the number of triangles for all nodes
triangles_all = nx.triangles(g)
print('Number of triangles for all nodes:', triangles_all)

# Compute the number of triangles for a list of nodes
node_list = [0, 1]
triangles_list = nx.triangles(g, node_list)
triangles_list_values = list(triangles_list.values())
print('Number of triangles for node list:', triangles_list_values)
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