2020-09-24 12:49:49 +02:00
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import numpy as np
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import networkx as nx
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import argparse
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2020-09-24 13:01:30 +02:00
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parser = argparse.ArgumentParser(description='')
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2020-09-24 12:49:49 +02:00
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parser.add_argument('-g', '--graph', dest='graph', action='store', default=None)
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2020-09-24 13:01:30 +02:00
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args = parser.parse_args()
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2020-09-24 12:49:49 +02:00
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if not args.graph:
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2020-09-24 13:01:30 +02:00
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print("need a graph as input")
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2020-09-24 12:49:49 +02:00
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exit()
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2020-09-24 13:01:30 +02:00
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2020-09-24 12:49:49 +02:00
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def read_graph(graph_file):
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with open(graph_file) as f:
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2020-09-24 13:01:30 +02:00
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n = int(f.readline())
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m = int(f.readline())
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A = [[0] * n for _ in range(n)]
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2020-09-24 12:49:49 +02:00
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for _ in range(m):
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2020-09-24 13:01:30 +02:00
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[u, v] = map(int, f.readline().split())
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A[u][v] = 1
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A[v][u] = 1
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G = nx.Graph(np.array(A))
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2020-09-24 12:49:49 +02:00
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return G
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2020-09-24 13:01:30 +02:00
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2020-09-24 12:49:49 +02:00
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def max_comp_size(G):
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return max([len(c) for c in nx.connected_components(G)])
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2020-09-24 13:01:30 +02:00
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del_list = []
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G = read_graph(args.graph)
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n = len(G.nodes)
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while max_comp_size(G) > n / 2:
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2020-09-24 13:53:44 +02:00
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mnc = nx.minimum_node_cut(G=G)
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del_list.append(mnc)
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G.remove_nodes_from(mnc)
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2020-09-24 12:49:49 +02:00
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for u in del_list:
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2020-09-24 13:01:30 +02:00
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print(u)
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