Add doctests to networking_flow/minimum_cut.py (#1126)

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Christian Clauss 2019-08-13 11:59:49 +02:00 committed by GitHub
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@ -1,10 +1,19 @@
# Minimum cut on Ford_Fulkerson algorithm.
test_graph = [
[0, 16, 13, 0, 0, 0],
[0, 0, 10, 12, 0, 0],
[0, 4, 0, 0, 14, 0],
[0, 0, 9, 0, 0, 20],
[0, 0, 0, 7, 0, 4],
[0, 0, 0, 0, 0, 0],
]
def BFS(graph, s, t, parent):
# Return True if there is node that has not iterated.
visited = [False] * len(graph)
queue=[]
queue.append(s)
queue = [s]
visited[s] = True
while queue:
@ -17,8 +26,12 @@ def BFS(graph, s, t, parent):
return True if visited[t] else False
def mincut(graph, source, sink):
# This array is filled by BFS and to store path
"""This array is filled by BFS and to store path
>>> mincut(test_graph, source=0, sink=5)
[(1, 3), (4, 3), (4, 5)]
"""
parent = [-1] * (len(graph))
max_flow = 0
res = []
@ -27,7 +40,7 @@ def mincut(graph, source, sink):
path_flow = float("Inf")
s = sink
while(s != source):
while s != source:
# Find the minimum value in select path
path_flow = min(path_flow, graph[parent[s]][s])
s = parent[s]
@ -35,7 +48,7 @@ def mincut(graph, source, sink):
max_flow += path_flow
v = sink
while(v != source):
while v != source:
u = parent[v]
graph[u][v] -= path_flow
graph[v][u] += path_flow
@ -48,12 +61,6 @@ def mincut(graph, source, sink):
return res
graph = [[0, 16, 13, 0, 0, 0],
[0, 0, 10 ,12, 0, 0],
[0, 4, 0, 0, 14, 0],
[0, 0, 9, 0, 0, 20],
[0, 0, 0, 7, 0, 4],
[0, 0, 0, 0, 0, 0]]
source, sink = 0, 5
print(mincut(graph, source, sink))
if __name__ == "__main__":
print(mincut(test_graph, source=0, sink=5))