(graph)
return reply
Return the cut-edges of the given graph.
    
    A cut edge, or bridge, is an edge of a graph whose removal increases the number of connected
    components in the graph.
    
    @type  graph: graph, hypergraph
    @param graph: Graph.
    
    @rtype:  list
    @return: List of cut-edges.
Return the cut-edges of the given graph.
    
    A cut edge, or bridge, is an edge of a graph whose removal increases the number of connected
    components in the graph.
Return the cut - edges of the given graph . A cut edge or bridge is an edge of a graph whose removal increases the number of connected components in the graph .
def cut_edges(graph):
    """
    Return the cut-edges of the given graph.
    
    A cut edge, or bridge, is an edge of a graph whose removal increases the number of connected
    components in the graph.
    
    @type  graph: graph, hypergraph
    @param graph: Graph.
    
    @rtype:  list
    @return: List of cut-edges.
    """
    recursionlimit = getrecursionlimit()
    setrecursionlimit(max(len(graph.nodes())*2,recursionlimit))

    # Dispatch if we have a hypergraph
    if 'hypergraph' == graph.__class__.__name__:
        return _cut_hyperedges(graph)

    pre = {}    # Pre-ordering
    low = {}    # Lowest pre[] reachable from this node going down the spanning tree + one backedge
    spanning_tree = {}
    reply = []
    pre[None] = 0

    for each in graph:
        if (each not in pre):
            spanning_tree[each] = None
            _cut_dfs(graph, spanning_tree, pre, low, reply, each)
    
    setrecursionlimit(recursionlimit)
    return reply
def cut_edges ( graph ) : recursionlimit = getrecursionlimit ( ) setrecursionlimit ( max ( len ( graph . nodes ( ) ) * 2 , recursionlimit ) ) # Dispatch if we have a hypergraph if 'hypergraph' == graph . __class__ . __name__ : return _cut_hyperedges ( graph ) pre = { } # Pre-ordering low = { } # Lowest pre[] reachable from this node going down the spanning tree + one backedge spanning_tree = { } reply = [ ] pre [ None ] = 0 for each in graph : if ( each not in pre ) : spanning_tree [ each ] = None _cut_dfs ( graph , spanning_tree , pre , low , reply , each ) setrecursionlimit ( recursionlimit ) return reply