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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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Source code for networkx.generators.cographs

r"""Generators for cographs

A cograph is a graph containing no path on four vertices.
Cographs or $P_4$-free graphs can be obtained from a single vertex
by disjoint union and complementation operations.

References
----------
.. [0] D.G. Corneil, H. Lerchs, L.Stewart Burlingham,
    "Complement reducible graphs",
    Discrete Applied Mathematics, Volume 3, Issue 3, 1981, Pages 163-174,
    ISSN 0166-218X.
"""
import networkx as nx
from networkx.utils import py_random_state

__all__ = ["random_cograph"]


[docs]@py_random_state(1) def random_cograph(n, seed=None): r"""Returns a random cograph with $2 ^ n$ nodes. A cograph is a graph containing no path on four vertices. Cographs or $P_4$-free graphs can be obtained from a single vertex by disjoint union and complementation operations. This generator starts off from a single vertex and performes disjoint union and full join operations on itself. The decision on which operation will take place is random. Parameters ---------- n : int The order of the cograph. seed : integer, random_state, or None (default) Indicator of random number generation state. See :ref:`Randomness<randomness>`. Returns ------- G : A random graph containing no path on four vertices. See Also -------- full_join union References ---------- .. [1] D.G. Corneil, H. Lerchs, L.Stewart Burlingham, "Complement reducible graphs", Discrete Applied Mathematics, Volume 3, Issue 3, 1981, Pages 163-174, ISSN 0166-218X. """ R = nx.empty_graph(1) for i in range(n): RR = nx.relabel_nodes(R.copy(), lambda x: x + len(R)) if seed.randint(0, 1) == 0: R = nx.full_join(R, RR) else: R = nx.disjoint_union(R, RR) return R