<｜begin▁of▁sentence｜>### Instruction:
Given a complete graph with 5 nodes, can you convert it to a NumPy matrix and then generate a hash value for it in order to uniquely identify the matrix?
### Response:
from networkx import to_numpy_matrix
import numpy as np

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

# Generate a NumPy matrix from the graph
G_matrix = to_numpy_matrix(g)

# Since NumPy matrices are mutable, we need to convert it to an immutable form to hash
# Use `tobytes` method to convert the matrix to a bytes representation
immutable_matrix_bytes = G_matrix.tobytes()

# Compute the hash value
matrix_hash = hash(immutable_matrix_bytes)

# Print the hash value
print('Hash of the matrix:', matrix_hash)
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