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is_matching(G, matching)

A matching in a graph is a set of edges in which no two distinct edges share a common endpoint. Each node is incident to at most one edge in the matching. The edges are said to be independent.

Parameters

G : NetworkX graph
matching : dict or set

A dictionary or set representing a matching. If a dictionary, it must have matching[u] == v and matching[v] == u for each edge (u, v) in the matching. If a set, it must have elements of the form (u, v) , where (u, v) is an edge in the matching.

Raises

NetworkXError

If the proposed matching has an edge to a node not in G. Or if the matching is not a collection of 2-tuple edges.

Returns

bool

Whether the given set or dictionary represents a valid matching in the graph.

Return True if matching is a valid matching of G

Examples

>>> G = nx.Graph([(1, 2), (1, 3), (2, 3), (2, 4), (3, 5), (4, 5)])
... nx.is_maximal_matching(G, {1: 3, 2: 4}) # using dict to represent matching True
>>> nx.is_matching(G, {(1, 3), (2, 4)})  # using set to represent matching
True
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.algorithms.matching.is_matching

Local connectivity graph

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GitHub : /networkx/algorithms/matching.py#84
type: <class 'function'>
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