Incorrect MinCut result

[etiennedeg]

Hi,
mincut seems to return false result with this graph:

Non-labeled edges have infinite capacity
edges 1-2, 4-7, 5-7 and 6-7 are saturated after the running of the algorithm

Output:
[1, 3, 6, 5] [2, 4, 7] 3.0
Expected Output
[1, 2, 3, 4, 5, 6] [7] 3.0

The algorithm should find every reachable node from the source by a flow, it instead reaches nodes reachable by non saturated direct edges

How to reproduce:

flow_graph = lg.DiGraph(7)
capacity_matrix = zeros(7,7)
flow_edges = [
(1,2,2),(1,3,2),(2,4,4),(2,5,4),
(3,5,4),(3,6,4),(4,7,1),(5,7,1),(6,7,1)
]
for e in flow_edges
    u, v, f = e
    lg.add_edge!(flow_graph, u, v)
    capacity_matrix[u,v] = f
end
a,b,c= LightGraphsFlows.mincut(flow_graph, 1, 7, capacity_matrix, EdmondsKarpAlgorithm())
println(a)
println(b)
println(c)

[etiennedeg]

I made a PR : #32

[matbesancon]

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