Issues (33)

tests/algorithms/graphs/shortest_path_unit_test.py (3 issues)

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import unittest
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from pyalgs.algorithms.graphs.directed_cycle import DirectedCycle
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from pyalgs.algorithms.graphs.shortest_path import DijkstraShortestPath, TopologicalSortShortestPath, \
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    BellmanFordShortestPath
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from tests.algorithms.graphs.util import create_edge_weighted_digraph
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class DijkstraShortestPathUnitTest(unittest.TestCase):
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    def test_shortest_path(self):
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        g = create_edge_weighted_digraph()
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        s = 0
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        dijkstra = DijkstraShortestPath(g, s)
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        for v in range(1, g.vertex_count()):
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            if dijkstra.hasPathTo(v):
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                print(str(s) + ' is connected to ' + str(v))
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                print('shortest path is ' + ' .. '.join([str(i) for i in dijkstra.shortestPathTo(v)]))
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                print('path length is ' + str(dijkstra.path_length_to(v)))
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class TopologicalSortShortestPathUnitTest(unittest.TestCase):
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    def test_shortest_path(self):
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        g = create_edge_weighted_digraph()
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        assert not DirectedCycle(g).hasCycle()
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        s = 0
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        dijkstra = TopologicalSortShortestPath(g, s)
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        for v in range(1, g.vertex_count()):
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            if dijkstra.hasPathTo(v):
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                print(str(s) + ' is connected to ' + str(v))
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                print('shortest path is ' + ' .. '.join([str(i) for i in dijkstra.shortestPathTo(v)]))
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                print('path length is ' + str(dijkstra.path_length_to(v)))
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class BellmanFordShortestPathUnitTest(unittest.TestCase):
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    def test_shortest_path(self):
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        g = create_edge_weighted_digraph()
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        s = 0
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        dijkstra = BellmanFordShortestPath(g, s)
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        for v in range(1, g.vertex_count()):
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            if dijkstra.hasPathTo(v):
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                print(str(s) + ' is connected to ' + str(v))
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                print('shortest path is ' + ' .. '.join([str(i) for i in dijkstra.shortestPathTo(v)]))
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                print('path length is ' + str(dijkstra.path_length_to(v)))
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if __name__ == '__main__':
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    unittest.main()