This repository has been archived on 2023-03-25. You can view files and clone it, but cannot push or open issues or pull requests.
mightyscape-1.1-deprecated/extensions/fablabchemnitz/networkx/algorithms/components/attracting.py
2020-08-30 12:36:33 +02:00

121 lines
2.9 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (C) 2004-2019 by
# Aric Hagberg <hagberg@lanl.gov>
# Dan Schult <dschult@colgate.edu>
# Pieter Swart <swart@lanl.gov>
# All rights reserved.
# BSD license.
#
# Authors: Christopher Ellison
"""Attracting components."""
import warnings as _warnings
import networkx as nx
from networkx.utils.decorators import not_implemented_for
__all__ = ['number_attracting_components',
'attracting_components',
'is_attracting_component',
]
@not_implemented_for('undirected')
def attracting_components(G):
"""Generates the attracting components in `G`.
An attracting component in a directed graph `G` is a strongly connected
component with the property that a random walker on the graph will never
leave the component, once it enters the component.
The nodes in attracting components can also be thought of as recurrent
nodes. If a random walker enters the attractor containing the node, then
the node will be visited infinitely often.
To obtain induced subgraphs on each component use:
``(G.subgraph(c).copy() for c in attracting_components(G))``
Parameters
----------
G : DiGraph, MultiDiGraph
The graph to be analyzed.
Returns
-------
attractors : generator of sets
A generator of sets of nodes, one for each attracting component of G.
Raises
------
NetworkXNotImplemented :
If the input graph is undirected.
See Also
--------
number_attracting_components
is_attracting_component
"""
scc = list(nx.strongly_connected_components(G))
cG = nx.condensation(G, scc)
for n in cG:
if cG.out_degree(n) == 0:
yield scc[n]
@not_implemented_for('undirected')
def number_attracting_components(G):
"""Returns the number of attracting components in `G`.
Parameters
----------
G : DiGraph, MultiDiGraph
The graph to be analyzed.
Returns
-------
n : int
The number of attracting components in G.
Raises
------
NetworkXNotImplemented :
If the input graph is undirected.
See Also
--------
attracting_components
is_attracting_component
"""
return sum(1 for ac in attracting_components(G))
@not_implemented_for('undirected')
def is_attracting_component(G):
"""Returns True if `G` consists of a single attracting component.
Parameters
----------
G : DiGraph, MultiDiGraph
The graph to be analyzed.
Returns
-------
attracting : bool
True if `G` has a single attracting component. Otherwise, False.
Raises
------
NetworkXNotImplemented :
If the input graph is undirected.
See Also
--------
attracting_components
number_attracting_components
"""
ac = list(attracting_components(G))
if len(ac) == 1:
return len(ac[0]) == len(G)
return False