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import networkx as nx
from nose.tools import *
def test_richclub():
G = nx.Graph([(0,1),(0,2),(1,2),(1,3),(1,4),(4,5)])
rc = nx.richclub.rich_club_coefficient(G,normalized=False)
assert_equal(rc,{0: 12.0/30,1:8.0/12})
# test single value
rc0 = nx.richclub.rich_club_coefficient(G,normalized=False)[0]
assert_equal(rc0,12.0/30.0)
def test_richclub_normalized():
G = nx.Graph([(0,1),(0,2),(1,2),(1,3),(1,4),(4,5)])
rcNorm = nx.richclub.rich_club_coefficient(G,Q=2)
assert_equal(rcNorm,{0:1.0,1:1.0})
def test_richclub2():
T = nx.balanced_tree(2,10)
rc = nx.richclub.rich_club_coefficient(T,normalized=False)
assert_equal(rc,{0:4092/(2047*2046.0),
1:(2044.0/(1023*1022)),
2:(2040.0/(1022*1021))})
#def test_richclub2_normalized():
# T = nx.balanced_tree(2,10)
# rcNorm = nx.richclub.rich_club_coefficient(T,Q=2)
# assert_true(rcNorm[0] ==1.0 and rcNorm[1] < 0.9 and rcNorm[2] < 0.9)
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