How to detect a cycle in a directed graph with Python?

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你的背包 2020-12-02 00:59

I have some input like: [(\'A\', \'B\'),(\'C\', \'D\'),(\'D\', \'C\'),(\'C\', \'D\')]. I want to look for if the existence of a cycle in a directed graph repres

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  •  情深已故
    2020-12-02 01:25

    My own implementation (non-recursive so without cycle length limit):

    from collections import defaultdict
    
    
    def has_cycle(graph):
        try:
            next(_iter_cycles(graph))
        except StopIteration:
            return False
        return True
    
    
    def _iter_cycles(edges):
        """Iterate over simple cycles in the directed graph."""
        if isinstance(edges, dict):
            graph = edges
        else:
            graph = defaultdict(set)
            for x, y in edges:
                graph[x].add(y)
        SEP = object()
        checked_nodes = set()  # already checked nodes
        for start_node in graph:
            if start_node in checked_nodes:
                continue
            nodes_left = [start_node]
            path = []         # current path from start_node
            node_idx = {}     # {node: path.index(node)}
            while nodes_left:
                node = nodes_left.pop()
                if node is SEP:
                    checked_node = path.pop()
                    del node_idx[checked_node]
                    checked_nodes.add(checked_node)
                    continue
                if node in checked_nodes:
                    continue
                if node in node_idx:
                    cycle_path = path[node_idx[node]:]
                    cycle_path.append(node)
                    yield cycle_path
                    continue
                next_nodes = graph.get(node)
                if not next_nodes:
                    checked_nodes.add(node)
                    continue
                node_idx[node] = len(path)
                path.append(node)
                nodes_left.append(SEP)
                nodes_left.extend(next_nodes)
    
    
    assert not has_cycle({0: [1, 2], 1: [3, 4], 5: [6, 7]})
    assert has_cycle([(0, 1), (1, 0), (1, 2), (2, 1)])
    
    
    def assert_cycles(graph, expected):
        detected = sorted(_iter_cycles(graph))
        if detected != expected:
            raise Exception('expected cycles:\n{}\ndetected cycles:\n{}'.format(expected, detected))
    
    
    assert_cycles([('A', 'B'),('C', 'D'),('D', 'C'),('C', 'D')], [['C', 'D', 'C']])
    assert_cycles([('A', 'B'),('B', 'A'),('B', 'C'),('C', 'B')], [['A', 'B', 'A'], ['B', 'C', 'B']])
    
    assert_cycles({1: [2, 3], 2: [3, 4]}, [])
    assert_cycles([(1, 2), (1, 3), (2, 3), (2, 4)], [])
    
    assert_cycles({1: [2, 4], 2: [3, 4], 3: [1]}, [[1, 2, 3, 1]])
    assert_cycles([(1, 2), (1, 4), (2, 3), (2, 4), (3, 1)], [[1, 2, 3, 1]])
    
    assert_cycles({0: [1, 2], 2: [3], 3: [4], 4: [2]}, [[2, 3, 4, 2]])
    assert_cycles([(0, 1), (0, 2), (2, 3), (3, 4), (4, 2)], [[2, 3, 4, 2]])
    
    assert_cycles({1: [2], 3: [4], 4: [5], 5: [3]}, [[3, 4, 5, 3]])
    assert_cycles([(1, 2), (3, 4), (4, 5), (5, 3)], [[3, 4, 5, 3]])
    
    assert_cycles({0: [], 1: []}, [])
    assert_cycles([], [])
    
    assert_cycles({0: [1, 2], 1: [3, 4], 5: [6, 7]}, [])
    assert_cycles([(0, 1), (0, 2), (1, 3), (1, 4), (5, 6), (5, 7)], [])
    
    assert_cycles({0: [1], 1: [0, 2], 2: [1]}, [[0, 1, 0], [1, 2, 1]])
    assert_cycles([(0, 1), (1, 0), (1, 2), (2, 1)], [[0, 1, 0], [1, 2, 1]])
    

    EDIT:

    I found that while has_cycle seems to be correct, the _iter_cycles does not iterate over all cycles!

    Example in which _iter_cycles does not find all cycles:

    assert_cycles([
            (0, 1), (1, 2), (2, 0),  # Cycle 0-1-2
            (0, 2), (2, 0),          # Cycle 0-2
            (0, 1), (1, 4), (4, 0),  # Cycle 0-1-4
        ],
        [
            [0, 1, 2, 0],  # Not found (in Python 3.7)!
            [0, 1, 4, 0],
            [0, 2, 0],
        ]
    )
    

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