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#!/usr/bin/env python
from nose.tools import *
from networkx import *
from networkx.generators.bipartite import *
"""Generators - Bipartite
----------------------
"""
class TestGeneratorsBipartite():
def test_configuration_model(self):
aseq=[3,3,3,3]
bseq=[2,2,2,2,2]
assert_raises(networkx.exception.NetworkXError,
bipartite_configuration_model, aseq, bseq)
aseq=[3,3,3,3]
bseq=[2,2,2,2,2,2]
G=bipartite_configuration_model(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[2, 2, 2, 2, 2, 2, 3, 3, 3, 3])
aseq=[2,2,2,2,2,2]
bseq=[3,3,3,3]
G=bipartite_configuration_model(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[2, 2, 2, 2, 2, 2, 3, 3, 3, 3])
aseq=[2,2,2,1,1,1]
bseq=[3,3,3]
G=bipartite_configuration_model(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[1, 1, 1, 2, 2, 2, 3, 3, 3])
GU=project(Graph(G),range(len(aseq)))
assert_equal(GU.number_of_nodes(), 6)
GD=project(Graph(G),range(len(aseq),len(aseq)+len(bseq)))
assert_equal(GD.number_of_nodes(), 3)
assert_raises(networkx.exception.NetworkXError,
bipartite_configuration_model, aseq, bseq,
create_using=DiGraph())
def test_havel_hakimi_graph(self):
aseq=[3,3,3,3]
bseq=[2,2,2,2,2]
assert_raises(networkx.exception.NetworkXError,
bipartite_havel_hakimi_graph, aseq, bseq)
bseq=[2,2,2,2,2,2]
G=bipartite_havel_hakimi_graph(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[2, 2, 2, 2, 2, 2, 3, 3, 3, 3])
aseq=[2,2,2,2,2,2]
bseq=[3,3,3,3]
G=bipartite_havel_hakimi_graph(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[2, 2, 2, 2, 2, 2, 3, 3, 3, 3])
GU=project(Graph(G),range(len(aseq)))
assert_equal(GU.number_of_nodes(), 6)
GD=project(Graph(G),range(len(aseq),len(aseq)+len(bseq)))
assert_equal(GD.number_of_nodes(), 4)
assert_raises(networkx.exception.NetworkXError,
bipartite_havel_hakimi_graph, aseq, bseq,
create_using=DiGraph())
def test_reverse_havel_hakimi_graph(self):
aseq=[3,3,3,3]
bseq=[2,2,2,2,2]
assert_raises(networkx.exception.NetworkXError,
bipartite_reverse_havel_hakimi_graph, aseq, bseq)
bseq=[2,2,2,2,2,2]
G=bipartite_reverse_havel_hakimi_graph(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[2, 2, 2, 2, 2, 2, 3, 3, 3, 3])
aseq=[2,2,2,2,2,2]
bseq=[3,3,3,3]
G=bipartite_reverse_havel_hakimi_graph(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[2, 2, 2, 2, 2, 2, 3, 3, 3, 3])
aseq=[2,2,2,1,1,1]
bseq=[3,3,3]
G=bipartite_reverse_havel_hakimi_graph(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[1, 1, 1, 2, 2, 2, 3, 3, 3])
GU=project(Graph(G),range(len(aseq)))
assert_equal(GU.number_of_nodes(), 6)
GD=project(Graph(G),range(len(aseq),len(aseq)+len(bseq)))
assert_equal(GD.number_of_nodes(), 3)
assert_raises(networkx.exception.NetworkXError,
bipartite_reverse_havel_hakimi_graph, aseq, bseq,
create_using=DiGraph())
def test_alternating_havel_hakimi_graph(self):
aseq=[3,3,3,3]
bseq=[2,2,2,2,2]
assert_raises(networkx.exception.NetworkXError,
bipartite_alternating_havel_hakimi_graph, aseq, bseq)
bseq=[2,2,2,2,2,2]
G=bipartite_alternating_havel_hakimi_graph(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[2, 2, 2, 2, 2, 2, 3, 3, 3, 3])
aseq=[2,2,2,2,2,2]
bseq=[3,3,3,3]
G=bipartite_alternating_havel_hakimi_graph(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[2, 2, 2, 2, 2, 2, 3, 3, 3, 3])
aseq=[2,2,2,1,1,1]
bseq=[3,3,3]
G=bipartite_alternating_havel_hakimi_graph(aseq,bseq)
assert_equal(sorted(G.degree().values()),
[1, 1, 1, 2, 2, 2, 3, 3, 3])
GU=project(Graph(G),range(len(aseq)))
assert_equal(GU.number_of_nodes(), 6)
GD=project(Graph(G),range(len(aseq),len(aseq)+len(bseq)))
assert_equal(GD.number_of_nodes(), 3)
assert_raises(networkx.exception.NetworkXError,
bipartite_alternating_havel_hakimi_graph, aseq, bseq,
create_using=DiGraph())
def test_preferential_attachment(self):
aseq=[3,2,1,1]
G=bipartite_preferential_attachment_graph(aseq,0.5)
assert_raises(networkx.exception.NetworkXError,
bipartite_preferential_attachment_graph, aseq, 0.5,
create_using=DiGraph())
def test_bipartite_random_graph(self):
n=10
m=20
G=bipartite_random_graph(n,m,0.9)
assert_equal(len(G),30)
assert_true(is_bipartite(G))
X,Y=nx.algorithms.bipartite.sets(G)
assert_equal(set(range(n)),X)
assert_equal(set(range(n,n+m)),Y)
def test_directed_bipartite_random_graph(self):
n=10
m=20
G=bipartite_random_graph(n,m,0.9,directed=True)
assert_equal(len(G),30)
assert_true(is_bipartite(G))
X,Y=nx.algorithms.bipartite.sets(G)
assert_equal(set(range(n)),X)
assert_equal(set(range(n,n+m)),Y)
def test_bipartite_gnmk_random_graph(self):
n = 10
m = 20
edges = 100
G = bipartite_gnmk_random_graph(n, m, edges)
assert_equal(len(G),30)
assert_true(is_bipartite(G))
X,Y=nx.algorithms.bipartite.sets(G)
print(X)
assert_equal(set(range(n)),X)
assert_equal(set(range(n,n+m)),Y)
assert_equal(edges, len(G.edges()))
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