def test_graph():
flights = [("ORD", "SEA"), ("ORD", "LAX"), ('ORD', 'DFW'), ('ORD', 'PIT'),
('SEA', 'LAX'), ('LAX', 'DFW'), ('ATL', 'PIT'), ('ATL', 'RDU'),
('RDU', 'PHL'), ('PIT', 'PHL'), ('PHL', 'PVD')]
G = {}
for (x,y) in flights: graph.make_link(G,x,y)
marvel_G = graph.read_graph("resources/marvel_graph.tsv")
assert graph.clustering_coefficient(G) == 2.0/9.0
assert len(marvel_G) == 19255
assert graph.path(marvel_G, 'A', 'ZZZAX') == ['A', 'W2 159', 'WOLVERINE/LOGAN ', 'W2 41', 'SUMMERS, NATHAN CHRI', 'C2 59', 'ZZZAX']
assert 5.11 > graph.centrality(marvel_G, 'A') > 5.1
def test_graph():
flights = [("ORD", "SEA"), ("ORD", "LAX"), ('ORD', 'DFW'), ('ORD', 'PIT'),
('SEA', 'LAX'), ('LAX', 'DFW'), ('ATL', 'PIT'), ('ATL', 'RDU'),
('RDU', 'PHL'), ('PIT', 'PHL'), ('PHL', 'PVD')]
G = {}
for (x, y) in flights:
graph.make_link(G, x, y)
marvel_G = graph.read_graph("resources/marvel_graph.tsv")
assert graph.clustering_coefficient(G) == 2.0 / 9.0
assert len(marvel_G) == 19255
assert graph.path(marvel_G, 'A', 'ZZZAX') == [
'A', 'W2 159', 'WOLVERINE/LOGAN ', 'W2 41', 'SUMMERS, NATHAN CHRI',
'C2 59', 'ZZZAX'
]
assert 5.11 > graph.centrality(marvel_G, 'A') > 5.1
__author__ = 'dhensche'
import utils.graph as graph
a = [(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (2, 3), (2, 6), (4, 3), (4, 5),
(5, 6)]
b = [(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (3, 4), (6, 7)]
c = [(1, 2), (1, 3), (1, 4), (1, 5), (1, 6)]
d = [(1, 2), (1, 3), (1, 4), (1, 5), (2, 3), (2, 4), (2, 5), (3, 4), (3, 5),
(4, 5)]
e = [(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (2, 3), (3, 4),
(4, 5), (5, 6), (6, 7), (7, 8), (8, 2)]
f = [(1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (3, 4), (4, 5), (5, 6)]
edges = {'a': a, 'b': b, 'c': c, 'd': d, 'e': e, 'f': f}
graphs = {}
for (key, edge_list) in edges.iteritems():
graphs[key] = graph.make_graph(edge_list)
print ''.join(
map(
lambda y: y[1],
sorted(
map(lambda x: (graph.clustering_coefficient(x[1], 1), x[0]),
graphs.iteritems()))))
__author__ = 'dhensche'
import utils.graph as graph
a = [(1,2),(1,3),(1,4),(1,5),(1,6),(2,3),(2,6),(4,3),(4,5),(5,6)]
b = [(1,2),(1,3),(1,4),(1,5),(1,6),(1,7),(1,8),(3,4),(6,7)]
c = [(1,2),(1,3),(1,4),(1,5),(1,6)]
d = [(1,2),(1,3),(1,4),(1,5),(2,3),(2,4),(2,5),(3,4),(3,5),(4,5)]
e = [(1,2),(1,3),(1,4),(1,5),(1,6),(1,7),(1,8),(2,3),(3,4),(4,5),(5,6),(6,7),(7,8),(8,2)]
f = [(1,2),(1,3),(1,4),(1,5),(1,6),(3,4),(4,5),(5,6)]
edges = {'a':a,'b':b,'c':c,'d':d,'e':e,'f':f}
graphs = {}
for (key, edge_list) in edges.iteritems(): graphs[key] = graph.make_graph(edge_list)
print ''.join(map(lambda y: y[1], sorted(map(lambda x: (graph.clustering_coefficient(x[1],1),x[0]), graphs.iteritems()))))
