def test_set_recovery(self):
edges = []
for i in range(1,100):
for j in range(1,100):
if i == j:
continue
else:
edges.append((i,j))
g = Graph(edges)
recovered = []
def recovery_function(n):
recovered.append(n)
g.set_recovery(recovery_function)
g.infect_seeds([g.get_node_by_name(i) for i in range(1,100)])
assert not recovered
before = g.infected()
g.recover()
after = g.infected()
assert not not recovered
assert len(after) < len(before)
def test_add_edge(self):
g = Graph([(1, 2), (1, 3), (1, 4), (1, 5)])
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
assert one.degree() == 4
assert two.degree() == 1
assert three.degree() == 1
g.add_edge(one, two)
assert one.degree() == 5
assert two.degree() == 2
assert three.degree() == 1
g.add_edge(two, one)
assert one.degree() == 6
assert two.degree() == 3
assert three.degree() == 1
g.add_edge(two, three)
assert one.degree() == 6
assert two.degree() == 4
assert three.degree() == 2
def test_export(self):
g = Graph([(1,2),(2,3),(3,4)])
exported = g.export()
g_copy = Graph(edges=exported)
for node in g:
assert node.name() in [n.name() for n in g_copy.nodes()]
def test_add_edge(self):
g = Graph([(1,2),(1,3),(1,4),(1,5)])
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
assert one.degree() == 4
assert two.degree() == 1
assert three.degree() == 1
g.add_edge(one, two)
assert one.degree() == 5
assert two.degree() == 2
assert three.degree() == 1
g.add_edge(two, one)
assert one.degree() == 6
assert two.degree() == 3
assert three.degree() == 1
g.add_edge(two, three)
assert one.degree() == 6
assert two.degree() == 4
assert three.degree() == 2
def test_degree(self):
graph = Graph()
nodes = []
for i in range(1000):
n = Node()
graph.add_node(n)
nodes.append(n)
target = nodes[0]
for n in nodes[1:]:
random.choice([target.add_child, target.add_parent])(n)
assert target.degree() == 999
def test_init_positional_edge(self):
g = Graph([(1,2),(1,3),(1,4),(1,5)])
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
four = g.get_node_by_name(4)
five = g.get_node_by_name(5)
assert one.degree() == 4, "Expected 4, got %s" % one.degree()
for n in [two, three, four, five]:
assert n.degree() == 1
def test_init_positional_edge(self):
g = Graph([(1, 2), (1, 3), (1, 4), (1, 5)])
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
four = g.get_node_by_name(4)
five = g.get_node_by_name(5)
assert one.degree() == 4, "Expected 4, got %s" % one.degree()
for n in [two, three, four, five]:
assert n.degree() == 1
def test_node_naming(self):
self.graph = Graph()
self.nodes = []
for i in range(1000):
n = Node()
self.graph.add_node(n)
self.nodes.append(n)
assert len(self.nodes) == len(set(self.nodes))
assert len(self.nodes) == 1000
assert len(set([n.name() for n in self.nodes])) == 1000
node = self.nodes[0]
assert type('') == type(node.name())
def test_get_node_by_name(self):
g = Graph([(1, 2), (1, 3), (1, 4), (1, 5)])
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
four = g.get_node_by_name(4)
five = g.get_node_by_name(5)
assert one.name() == 1
assert two.name() == 2
assert three.name() == 3
assert four.name() == 4
assert five.name() == 5
def test_get_node_by_name(self):
g = Graph([(1,2),(1,3),(1,4),(1,5)])
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
four = g.get_node_by_name(4)
five = g.get_node_by_name(5)
assert one.name() == 1
assert two.name() == 2
assert three.name() == 3
assert four.name() == 4
assert five.name() == 5
def test_closeness(self):
g = Graph([(1,2),(2,3),(3,4)])
one = g[1]
four = g[4]
closeness, path = g.closeness(one, four)
assert closeness == 3.0
g = Graph([(1,2),(2,3),(3,4)],
length=lambda e: e.weight_/2.0)
one = g[1]
four = g[4]
closeness, path = g.closeness(one, four)
assert closeness == 1.5
def test_init_advanced_defs(self):
g = Graph(graph=[{
'from_': 1,
'to_': 2,
'type_': 'first',
'weight_': 1.0
}, {
'from_': 1,
'to_': 3,
'type_': 'second',
'weight_': 2.0
}, {
'from_': 1,
'to_': 4,
'type_': 'third',
'weight_': 3.0
}, {
'from_': 1,
'to_': 5,
'type_': 'fourth',
'weight_': 4.0
}],
directed=True,
transmission_probability=lambda x, y: 1.0)
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
four = g.get_node_by_name(4)
five = g.get_node_by_name(5)
assert one.degree() == 4, "Expected 4, got %s" % one.degree()
for n in [two, three, four, five]:
assert n.degree() == 1
assert one.edges()[2].type_ == 'first'
assert one.edges()[3].type_ == 'second'
assert one.edges()[4].type_ == 'third'
assert one.edges()[5].type_ == 'fourth'
assert one.edges()[2].weight_ == 1.0
assert one.edges()[3].weight_ == 2.0
assert one.edges()[4].weight_ == 3.0
assert one.edges()[5].weight_ == 4.0
def test_init_advanced_defs(self):
g = Graph(graph=[{'from_': 1,
'to_': 2,
'type_': 'first',
'weight_': 1.0
},{'from_': 1,
'to_': 3,
'type_': 'second',
'weight_': 2.0
},{'from_': 1,
'to_': 4,
'type_': 'third',
'weight_': 3.0
},{'from_': 1,
'to_': 5,
'type_': 'fourth',
'weight_': 4.0
}],
directed=True,
transmission_probability=lambda x,y: 1.0)
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
four = g.get_node_by_name(4)
five = g.get_node_by_name(5)
assert one.degree() == 4, "Expected 4, got %s" % one.degree()
for n in [two, three, four, five]:
assert n.degree() == 1
assert one.edges()[2].type_ == 'first'
assert one.edges()[3].type_ == 'second'
assert one.edges()[4].type_ == 'third'
assert one.edges()[5].type_ == 'fourth'
assert one.edges()[2].weight_ == 1.0
assert one.edges()[3].weight_ == 2.0
assert one.edges()[4].weight_ == 3.0
assert one.edges()[5].weight_ == 4.0
def test_set_infection(self):
g = Graph([(1, 2), (1, 3), (1, 4), (1, 5)])
infected = []
def callback(n):
infected.append(n)
g.set_infection(callback)
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
g.infect_seeds([one, two, three])
assert one in infected
assert two in infected
assert three in infected
assert one in g.infected()
assert two in g.infected()
assert three in g.infected()
def test_set_infection(self):
g = Graph([(1,2),(1,3),(1,4),(1,5)])
infected = []
def callback(n):
infected.append(n)
g.set_infection(callback)
one = g.get_node_by_name(1)
two = g.get_node_by_name(2)
three = g.get_node_by_name(3)
g.infect_seeds([one, two, three])
assert one in infected
assert two in infected
assert three in infected
assert one in g.infected()
assert two in g.infected()
assert three in g.infected()
def test_set_transmission_function_in_constructor(self):
target = [False]
def trans(a,b):
target[0] = True
return 1
g = Graph([(1,2)],
transmission_probability=trans)
g.infect_seeds([g.get_node_by_name(1)])
g.propagate()
assert target[0]
class NodeTest(TestApi):
def test_node_naming(self):
self.graph = Graph()
self.nodes = []
for i in range(1000):
n = Node()
self.graph.add_node(n)
self.nodes.append(n)
assert len(self.nodes) == len(set(self.nodes))
assert len(self.nodes) == 1000
assert len(set([n.name() for n in self.nodes])) == 1000
node = self.nodes[0]
assert type('') == type(node.name())
def test_add_parent_and_child(self):
parent = Node()
child = Node()
parent.add_child(child)
child.add_parent(parent)
assert parent.is_parent_of(child)
assert child.is_child_of(parent)
assert parent.name() in child.edges()
assert child.name() in parent.edges()
assert parent.degree() == 2L
assert child.degree() == 2L
parent = Node()
child = Node()
parent.add_child(child)
assert parent.degree() == 1L
assert child.degree() == 1L
assert child.is_child_of(parent)
assert parent.is_parent_of(child)
def test_degree(self):
graph = Graph()
nodes = []
for i in range(1000):
n = Node()
graph.add_node(n)
nodes.append(n)
target = nodes[0]
for n in nodes[1:]:
random.choice([target.add_child, target.add_parent])(n)
assert target.degree() == 999
def test_edges(self):
target = Node()
to_add = [Node() for i in range(1000)]
for n in to_add:
random.choice([target.add_child, target.add_parent])(n)
assert len(target.edges().keys()) == target.degree()
def test_cleanup(self):
target = Node()
to_clean = [Node(), Node(), Node()]
not_to_clean = [Node(), Node()]
for n in to_clean + not_to_clean:
random.choice([target.add_parent, target.add_child])(n)
assert len(target.edges().keys()) == 5
assert target.degree() == 5
while to_clean:
n = to_clean.pop()
del n
assert len(target.edges().keys()) == 2
assert target.degree() == 2, "Actual degree is %s" % target.degree()
def test_weakref_cleanup(self):
class A:
pass
a = A()
refs = []
def cleanup(wr):
refs.remove(wr)
refs.append(weakref.ref(a, cleanup))
refs.append(weakref.ref(a, cleanup))
refs.append(weakref.ref(a, cleanup))
for ref in refs:
assert ref() is a
del a
assert len(refs) == 0
def test_circular_weakref_cleanup(self):
class A:
pass
class B:
def __init__(self, a, b):
self.a = a
self.b = b
a = A()
b = A()
refs = []
def cleanup(wr):
refs.remove(wr)
a.b = weakref.ref(b, cleanup)
b.a = weakref.ref(a, cleanup)
br = B(weakref.ref(a), weakref.ref(b))
refs.append(a.b)
refs.append(b.a)
assert len(refs) == 2
del a
assert len(refs) == 1
def test_circular_node_cleanup(self):
parent = Node()
child = Node()
par_mul = parent.add_child(child)
assert par_mul == 1L, "Expected multiplicity 1, got %s" % par_mul
child_mul = child.add_parent(parent)
assert child_mul == 2L, "Expected multiplicity 2, got %s" % child_mul
assert parent.degree() == 2L, "Expected 2, got %s" % parent.degree()
assert child.degree() == 2L, "Expected 2, got %s" % child.degree()
del child
assert len(parent.edges().items()) == 0, "Parent has %s edges." % len(parent.edges().items())
assert parent.degree() == 0L, "Parent degree is: %s" % parent.degree()
parent = Node()
child = Node()
assert parent.add_child(child) == 1L
assert child.add_parent(parent) == 2L
assert parent.degree() == 2L
assert child.degree() == 2L
del parent
assert child.degree() == 0L, "Child degree is: %s" % child.degree()
def test_transmission_probability(self):
parent = Node()
child = Node()
child2 = Node()
child3 = Node()
parent.add_child(child)
child.add_parent(parent)
assert child.is_child_of(parent)
assert parent.is_parent_of(child)
assert child.transmission_probability(parent) == 1.0, "Expected 1.0, got %s" % child.transmission_probability(parent)
assert parent.transmission_probability(child) == 1.0, "Expected 1.0, got %s" % parent.transmission_probability(child)
parent.add_child(child2)
parent.add_child(child3)
assert child.degree() == 2L
assert child2.degree() == 1L
assert child3.degree() == 1L
assert parent.degree() == 4L
assert parent.transmission_probability(child) == 1.0/2.0, "Expected 1/2, got %s" % parent.transmission_probability(child)
assert parent.transmission_probability(child2) == 1.0/4.0, "Expected 1/4, got %s" % parent.transmission_probability(child2)
assert parent.transmission_probability(child3) == 1.0/4.0, "Expected 1/4, got %s" % parent.transmission_probability(child3)
def test_propagate(self):
parent = Node()
child = Node()
child.infected = False
parent.add_child(child)
def infection(n):
n.infected = True
parent.propagate_infection(infection)
assert child.infected
parent = Node()
children = [Node() for i in range(1000)]
for c in children:
c.infected = False
parent.add_child(c)
# Test that around 1 in 1000 is infected:
parent.propagate_infection(infection)
infected = float(len(filter(lambda n: n.infected, children)))
assert infected / 1000.0 <= 10.0 / 1000.0
def test_set_recovery(self):
edges = []
for i in range(1, 100):
for j in range(1, 100):
if i == j:
continue
else:
edges.append((i, j))
g = Graph(edges)
recovered = []
def recovery_function(n):
recovered.append(n)
g.set_recovery(recovery_function)
g.infect_seeds([g.get_node_by_name(i) for i in range(1, 100)])
assert not recovered
before = g.infected()
g.recover()
after = g.infected()
assert not not recovered
assert len(after) < len(before)
def test_get_set_transmission_probability_function(self):
g = Graph([(1,2),(2,3),(3,4)])
assert g.get_transmission_probability() == tp
for node in g.nodes():
assert node.get_transmission_probability() == tp
def a(n, m):
return 1
def b(n, m):
return 0
g.set_transmission_probability(a)
assert g.get_transmission_probability() == a
for node in g.nodes():
assert node.get_transmission_probability() == a
g.set_transmission_probability(b)
assert g.get_transmission_probability() == b
for node in g.nodes():
assert node.get_transmission_probability() == b
def test_get_set_recovery_probability_function(self):
g = Graph([(1,2),(2,3),(3,4)])
assert g.get_recovery_probability() == rp
for node in g.nodes():
assert node.get_recovery_probability() == rp
def a(n):
return 1
def b(n):
return 0
g.set_recovery_probability(a)
assert g.get_recovery_probability() == a
for node in g.nodes():
assert node.get_recovery_probability() == a
g.set_recovery_probability(b)
assert g.get_recovery_probability() == b
for node in g.nodes():
assert node.get_recovery_probability() == b