Graph algorithms library for educational purposes
Project description
import numpy as np from graphalgos.graph.adjacency import AdjacencyMatrix from graphalgos.algorithms.hamiltonian import HamiltonianSolver from graphalgos.algorithms.floyd_warshall import FloydWarshall
Создание графа
adj_matrix = np.array([ [0, 1, 0, 1, 0], [1, 0, 1, 1, 1], [0, 1, 0, 0, 1], [1, 1, 0, 0, 1], [0, 1, 1, 1, 0] ])
Поиск Гамильтонова цикла
solver = HamiltonianSolver() cycle = solver.backtracking_hamiltonian(adj_matrix) print(f"Гамильтонов цикл: {cycle}")
Поиск кратчайших путей
dist, next_hop = FloydWarshall.floyd_warshall(adj_matrix) print(f"Матрица расстояний:\n{dist}")
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