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diff --git a/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/approximation/matching.py b/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/approximation/matching.py
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-# -*- coding: utf-8 -*-
-"""
-**************
-Graph Matching
-**************
-
-Given a graph G = (V,E), a matching M in G is a set of pairwise non-adjacent
-edges; that is, no two edges share a common vertex.
-
-http://en.wikipedia.org/wiki/Matching_(graph_theory)
-"""
-# Copyright (C) 2011-2012 by
-# Nicholas Mancuso <nick.mancuso@gmail.com>
-# All rights reserved.
-# BSD license.
-import networkx as nx
-__all__ = ["min_maximal_matching"]
-__author__ = """Nicholas Mancuso (nick.mancuso@gmail.com)"""
-
-def min_maximal_matching(G):
- r"""Returns the minimum maximal matching of G. That is, out of all maximal
- matchings of the graph G, the smallest is returned.
-
- Parameters
- ----------
- G : NetworkX graph
- Undirected graph
-
- Returns
- -------
- min_maximal_matching : set
- Returns a set of edges such that no two edges share a common endpoint
- and every edge not in the set shares some common endpoint in the set.
- Cardinality will be 2*OPT in the worst case.
-
- Notes
- -----
- The algorithm computes an approximate solution fo the minimum maximal
- cardinality matching problem. The solution is no more than 2 * OPT in size.
- Runtime is `O(|E|)`.
-
- References
- ----------
- .. [1] Vazirani, Vijay Approximation Algorithms (2001)
- """
- return nx.maximal_matching(G)