<｜begin▁of▁sentence｜>### Instruction:
Given a complete graph with 5 nodes, can you compute the generalized degree for a specific node and for all nodes using NetworkX's generalized_degree function? Also, can you calculate the number of triangles attached to a specific node based on its generalized degree?
### Response:
import networkx as nx

# Create a complete graph with 5 nodes
G = nx.complete_graph(5)

# Compute the generalized degree of node 0
node_generalized_degree = nx.generalized_degree(G, 0)
print('Generalized degree of node 0: ', node_generalized_degree)

# Compute the generalized degree for all nodes
all_generalized_degrees = nx.generalized_degree(G)
print('Generalized degrees for all nodes: ', all_generalized_degrees)

# To recover the number of triangles attached to a node
# for the given example of node 0
num_triangles = sum(k * v for k, v in node_generalized_degree.items()) // 2
print('Number of triangles attached to node 0: ', num_triangles)
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