def test_specified_methods(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="dijkstra")
assert ans == pytest.approx(4, abs=1e-7)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="bellman-ford")
assert ans == pytest.approx(4, abs=1e-7)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="floyd-warshall")
assert ans == pytest.approx(4, abs=1e-7)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="dijkstra")
assert ans == pytest.approx(4, abs=1e-7)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="bellman-ford")
assert ans == pytest.approx(4, abs=1e-7)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="floyd-warshall")
assert ans == pytest.approx(4, abs=1e-7)
def test_barbell():
G = nx.barbell_graph(8, 4)
nx.add_path(G, [7, 20, 21, 22])
nx.add_cycle(G, [22, 23, 24, 25])
pts = set(nx.articulation_points(G))
assert_equal(pts, {7, 8, 9, 10, 11, 12, 20, 21, 22})
answer = [
{12, 13, 14, 15, 16, 17, 18, 19},
{0, 1, 2, 3, 4, 5, 6, 7},
{22, 23, 24, 25},
{11, 12},
{10, 11},
{9, 10},
{8, 9},
{7, 8},
{21, 22},
{20, 21},
{7, 20},
]
assert_components_equal(list(nx.biconnected_components(G)), answer)
G.add_edge(2, 17)
pts = set(nx.articulation_points(G))
assert_equal(pts, {7, 20, 21, 22})
def graph_select(graph):
nodes = graph.nodes
selection_graph = nx.create_empty_copy(graph)
try:
while True:
choices = nx.simple_cycles(graph)
n = len(nodes)
filtered_choices = list(
filter(lambda x: len(x) != (n - 1) and len(x) != 1, choices))
filtered_choices = list(
filter(lambda x: has_valid_isolates(x, graph),
filtered_choices))
cycle = choice(filtered_choices)
nx.add_cycle(selection_graph, cycle)
graph.remove_nodes_from(cycle)
isolates = list(nx.isolates(selection_graph))
if not isolates:
break
except IndexError as e:
print(e)
print('No valid graph found')
raise (e)
except Exception as e:
print(e)
print('Unhandled error')
raise (e)
finally:
return selection_graph
def delaunay(points):
"""
Construct Delaunay triangulation of set of points.
Parameters
----------
points : array of floats, shape (N, 2)
Planar coordinates of points.
Returns
-------
G : networkx.Graph
The Delaunay triangulation represented as a graph.
The graph has the node attribute 'pos' with the given point
coordinates, and the edge attribute 'length', which is the
Euclidean distance between nodes.
"""
G = nx.Graph()
N = points.shape[0]
pos = {i: points[i] for i in range(N)}
G.add_nodes_from(pos.keys())
nx.set_node_attributes(G, pos, 'pos')
tri = Delaunay(points)
for triangle in tri.simplices:
nx.add_cycle(G, triangle)
distances = {(e1, e2):
np.linalg.norm(G.nodes[e1]['pos'] - G.nodes[e2]['pos'])
for e1, e2 in G.edges()}
nx.set_edge_attributes(G, distances, 'length')
return G
def test_add_cycle(self):
G = self.G.copy()
nlist = [12, 13, 14, 15]
oklists = [[(12, 13), (12, 15), (13, 14), (14, 15)],
[(12, 13), (13, 14), (14, 15), (15, 12)]]
nx.add_cycle(G, nlist)
assert_true(sorted(G.edges(nlist)) in oklists)
G = self.G.copy()
oklists = [[(12, 13, {
'weight': 1.
}), (12, 15, {
'weight': 1.
}), (13, 14, {
'weight': 1.
}), (14, 15, {
'weight': 1.
})],
[(12, 13, {
'weight': 1.
}), (13, 14, {
'weight': 1.
}), (14, 15, {
'weight': 1.
}), (15, 12, {
'weight': 1.
})]]
nx.add_cycle(G, nlist, weight=1.0)
assert_true(sorted(G.edges(nlist, data=True)) in oklists)
def test_barbell():
G = nx.barbell_graph(8, 4)
nx.add_path(G, [7, 20, 21, 22])
nx.add_cycle(G, [22, 23, 24, 25])
pts = set(nx.articulation_points(G))
assert_equal(pts, set([7, 8, 9, 10, 11, 12, 20, 21, 22]))
answer = [
set([12, 13, 14, 15, 16, 17, 18, 19]),
set([0, 1, 2, 3, 4, 5, 6, 7]),
set([22, 23, 24, 25]),
set([11, 12]),
set([10, 11]),
set([9, 10]),
set([8, 9]),
set([7, 8]),
set([21, 22]),
set([20, 21]),
set([7, 20]),
]
assert_components_equal(list(nx.biconnected_components(G)), answer)
G.add_edge(2, 17)
pts = set(nx.articulation_points(G))
assert_equal(pts, set([7, 20, 21, 22]))
def test_specified_methods(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="dijkstra")
assert almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="bellman-ford")
assert almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="floyd-warshall")
assert almost_equal(ans, 4)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="dijkstra")
assert almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="bellman-ford")
assert almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight="weight",
method="floyd-warshall")
assert almost_equal(ans, 4)
def test_specified_methods(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='dijkstra')
assert_almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='bellman-ford')
assert_almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='floyd-warshall')
assert_almost_equal(ans, 4)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='dijkstra')
assert_almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='bellman-ford')
assert_almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='floyd-warshall')
assert_almost_equal(ans, 4)
def test_weighted(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
ans = nx.average_shortest_path_length(G, weight="weight")
assert ans == pytest.approx(4, abs=1e-7)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
ans = nx.average_shortest_path_length(G, weight="weight")
assert ans == pytest.approx(4, abs=1e-7)
def setEdges(self, framenum, obj, u, v=None, mode='t'):
if mode == 't':
nx.add_cycle(self.graph, self.nodes[u])
else:
if len(self.edges) <= framenum - 1:
self.add_edge(u_for_edge=u,
v_for_edge=v,
key=str((u, v)),
attr=obj.edge_weight)
def test_multigraph(self):
G = nx.MultiGraph()
nx.add_cycle(G, [0, 1, 2, 3])
G.add_edge(1, 2)
G.add_edge(1, 2)
edges = list(nx.eulerian_circuit(G, source=0))
nodes = [u for u, v in edges]
assert nodes == [0, 3, 2, 1, 2, 1]
assert edges == [(0, 3), (3, 2), (2, 1), (1, 2), (2, 1), (1, 0)]
def test_weighted(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
ans = nx.average_shortest_path_length(G, weight='weight')
assert_almost_equal(ans, 4)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
ans = nx.average_shortest_path_length(G, weight='weight')
assert_almost_equal(ans, 4)
def test_is_aperiodic_disconnected():
# disconnected graph
G = nx.DiGraph()
nx.add_cycle(G, [1, 2, 3, 4])
nx.add_cycle(G, [5, 6, 7, 8])
assert not nx.is_aperiodic(G)
G.add_edge(1, 3)
G.add_edge(5, 7)
assert nx.is_aperiodic(G)
def test_is_aperiodic_disconnected():
# disconnected graph
G = nx.DiGraph()
nx.add_cycle(G, [1, 2, 3, 4])
nx.add_cycle(G, [5, 6, 7, 8])
assert_false(nx.is_aperiodic(G))
G.add_edge(1, 3)
G.add_edge(5, 7)
assert_true(nx.is_aperiodic(G))
def test_eulerian_circuit_multigraph(self):
G=nx.MultiGraph()
nx.add_cycle(G, [0, 1, 2, 3])
G.add_edge(1,2)
G.add_edge(1,2)
edges=list(eulerian_circuit(G,source=0))
nodes=[u for u,v in edges]
assert_equal(nodes,[0,3,2,1,2,1])
assert_equal(edges,[(0,3),(3,2),(2,1),(1,2),(2,1),(1,0)])
def test_weighted(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
l = nx.average_shortest_path_length(G, weight='weight')
assert_almost_equal(l, 4)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
l = nx.average_shortest_path_length(G, weight='weight')
assert_almost_equal(l, 4)
def test_weighted(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
ans = nx.average_shortest_path_length(G, weight="weight")
assert almost_equal(ans, 4)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
ans = nx.average_shortest_path_length(G, weight="weight")
assert almost_equal(ans, 4)
def test_isomorphism(self):
g1 = nx.Graph()
nx.add_cycle(g1, range(4))
g2 = nx.Graph()
nx.add_cycle(g2, range(4))
g2.add_edges_from([(n, m) for n, m in zip(g2, range(4, 8))])
ismags = iso.ISMAGS(g2, g1)
assert (list(ismags.subgraph_isomorphisms_iter(symmetry=True)) ==
[{n: n for n in g1.nodes}])
def test_multigraph_with_keys(self):
G = nx.MultiGraph()
nx.add_cycle(G, [0, 1, 2, 3])
G.add_edge(1, 2)
G.add_edge(1, 2)
edges = list(eulerian_circuit(G, source=0, keys=True))
nodes = [u for u, v, k in edges]
assert_equal(nodes, [0, 3, 2, 1, 2, 1])
assert_equal(edges[:2], [(0, 3, 0), (3, 2, 0)])
assert_count_equal(edges[2:5], [(2, 1, 0), (1, 2, 1), (2, 1, 2)])
assert_equal(edges[5:], [(1, 0, 0)])
def test_simple_cycles_small(self):
G = nx.DiGraph()
nx.add_cycle(G, [1, 2, 3])
c = sorted(nx.simple_cycles(G))
assert_equal(len(c), 1)
assert_true(self.is_cyclic_permutation(c[0], [1, 2, 3]))
nx.add_cycle(G, [10, 20, 30])
cc = sorted(nx.simple_cycles(G))
ca = [[1, 2, 3], [10, 20, 30]]
for c in cc:
assert_true(any(self.is_cyclic_permutation(c, rc) for rc in ca))
def test_simple_cycles_small(self):
G = nx.DiGraph()
nx.add_cycle(G, [1, 2, 3])
c = sorted(nx.simple_cycles(G))
assert_equal(len(c), 1)
assert_true(self.is_cyclic_permutation(c[0], [1, 2, 3]))
nx.add_cycle(G, [10, 20, 30])
cc = sorted(nx.simple_cycles(G))
ca = [[1, 2, 3], [10, 20, 30]]
for c in cc:
assert_true(any(self.is_cyclic_permutation(c, rc) for rc in ca))
def test_large_clique_size():
G = nx.complete_graph(9)
nx.add_cycle(G, [9, 10, 11])
G.add_edge(8, 9)
G.add_edge(1, 12)
G.add_node(13)
assert_equal(large_clique_size(G), 9)
G.remove_node(5)
assert_equal(large_clique_size(G), 8)
G.remove_edge(2, 3)
assert_equal(large_clique_size(G), 7)
def test_large_clique_size():
G = nx.complete_graph(9)
nx.add_cycle(G, [9, 10, 11])
G.add_edge(8, 9)
G.add_edge(1, 12)
G.add_node(13)
assert large_clique_size(G) == 9
G.remove_node(5)
assert large_clique_size(G) == 8
G.remove_edge(2, 3)
assert large_clique_size(G) == 7
def test_simple_cycles_small(self):
G = nx.DiGraph()
nx.add_cycle(G, [1, 2, 3])
c = sorted(nx.simple_cycles(G))
assert len(c) == 1
assert self.is_cyclic_permutation(c[0], [1, 2, 3])
nx.add_cycle(G, [10, 20, 30])
cc = sorted(nx.simple_cycles(G))
assert len(cc) == 2
ca = [[1, 2, 3], [10, 20, 30]]
for c in cc:
assert any(self.is_cyclic_permutation(c, rc) for rc in ca)
def test_biconnected_component_subgraphs_cycle():
G=nx.cycle_graph(3)
nx.add_cycle(G, [1, 3, 4, 5])
Gc = set(nx.biconnected_component_subgraphs(G))
assert_equal(len(Gc), 2)
g1, g2=Gc
if 0 in g1:
assert_true(nx.is_isomorphic(g1, nx.Graph([(0,1),(0,2),(1,2)])))
assert_true(nx.is_isomorphic(g2, nx.Graph([(1,3),(1,5),(3,4),(4,5)])))
else:
assert_true(nx.is_isomorphic(g1, nx.Graph([(1,3),(1,5),(3,4),(4,5)])))
assert_true(nx.is_isomorphic(g2, nx.Graph([(0,1),(0,2),(1,2)])))
def test_multigraph_with_keys(self):
G = nx.MultiGraph()
nx.add_cycle(G, [0, 1, 2, 3])
G.add_edge(1, 2)
G.add_edge(1, 2)
edges = list(nx.eulerian_circuit(G, source=0, keys=True))
nodes = [u for u, v, k in edges]
assert nodes == [0, 3, 2, 1, 2, 1]
assert edges[:2] == [(0, 3, 0), (3, 2, 0)]
assert collections.Counter(edges[2:5]) == collections.Counter([
(2, 1, 0), (1, 2, 1), (2, 1, 2)
])
assert edges[5:] == [(1, 0, 0)]
def test_eulerian_circuit_digraph(self):
G = nx.DiGraph()
nx.add_cycle(G, [0, 1, 2, 3])
edges = list(nx.eulerian_circuit(G, source=0))
nodes = [u for u, v in edges]
assert nodes == [0, 1, 2, 3]
assert edges == [(0, 1), (1, 2), (2, 3), (3, 0)]
edges = list(nx.eulerian_circuit(G, source=1))
nodes = [u for u, v in edges]
assert nodes == [1, 2, 3, 0]
assert edges == [(1, 2), (2, 3), (3, 0), (0, 1)]
def test_eulerian_circuit_digraph(self):
G = nx.DiGraph()
nx.add_cycle(G, [0, 1, 2, 3])
edges = list(eulerian_circuit(G, source=0))
nodes = [u for u, v in edges]
assert_equal(nodes, [0, 1, 2, 3])
assert_equal(edges, [(0, 1), (1, 2), (2, 3), (3, 0)])
edges = list(eulerian_circuit(G, source=1))
nodes = [u for u, v in edges]
assert_equal(nodes, [1, 2, 3, 0])
assert_equal(edges, [(1, 2), (2, 3), (3, 0), (0, 1)])
def icerule(g):
# とりあえず、transversing cycleは気にしない。
# gは破壊される
dg = nx.DiGraph()
while len(g) > 0:
start = random.choice(list(g.nodes()))
print(start)
for cycle in find_cycle(g, [start]):
break
print(cycle, len(list(g.neighbors(start))))
nx.add_cycle(dg, cycle)
delete_cycle(g, cycle)
return dg
def test_eulerian_circuit_digraph(self):
G=nx.DiGraph()
nx.add_cycle(G, [0, 1, 2, 3])
edges=list(eulerian_circuit(G,source=0))
nodes=[u for u,v in edges]
assert_equal(nodes,[0,1,2,3])
assert_equal(edges,[(0,1),(1,2),(2,3),(3,0)])
edges=list(eulerian_circuit(G,source=1))
nodes=[u for u,v in edges]
assert_equal(nodes,[1,2,3,0])
assert_equal(edges,[(1,2),(2,3),(3,0),(0,1)])
def test_add_cycle(self):
G = self.G.copy()
nlist = [12, 13, 14, 15]
oklists = [[(12, 13), (12, 15), (13, 14), (14, 15)],
[(12, 13), (13, 14), (14, 15), (15, 12)]]
nx.add_cycle(G, nlist)
assert sorted(G.edges(nlist)) in oklists
G = self.G.copy()
oklists = [[(12, 13, {'weight': 1.}),
(12, 15, {'weight': 1.}),
(13, 14, {'weight': 1.}),
(14, 15, {'weight': 1.})],
[(12, 13, {'weight': 1.}),
(13, 14, {'weight': 1.}),
(14, 15, {'weight': 1.}),
(15, 12, {'weight': 1.})]]
nx.add_cycle(G, nlist, weight=1.0)
assert sorted(G.edges(nlist, data=True)) in oklists
G = self.G.copy()
nlist = [12]
nx.add_cycle(G, nlist)
assert_nodes_equal(G, list(self.G) + nlist)
G = self.G.copy()
nlist = []
nx.add_cycle(G, nlist)
assert_nodes_equal(G.nodes, self.Gnodes)
assert_edges_equal(G.edges, self.G.edges)
def test_add_cycle(self):
G = self.G.copy()
nlist = [12, 13, 14, 15]
oklists = [[(12, 13), (12, 15), (13, 14), (14, 15)],
[(12, 13), (13, 14), (14, 15), (15, 12)]]
nx.add_cycle(G, nlist)
assert_true(sorted(G.edges(nlist)) in oklists)
G = self.G.copy()
oklists = [[(12, 13, {'weight': 1.}),
(12, 15, {'weight': 1.}),
(13, 14, {'weight': 1.}),
(14, 15, {'weight': 1.})],
[(12, 13, {'weight': 1.}),
(13, 14, {'weight': 1.}),
(14, 15, {'weight': 1.}),
(15, 12, {'weight': 1.})]]
nx.add_cycle(G, nlist, weight=1.0)
assert_true(sorted(G.edges(nlist, data=True)) in oklists)
G = self.G.copy()
nlist = [12]
nx.add_cycle(G, nlist)
assert_nodes_equal(G, list(self.G) + nlist)
G = self.G.copy()
nlist = []
nx.add_cycle(G, nlist)
assert_nodes_equal(G.nodes, self.Gnodes)
assert_edges_equal(G.edges, self.G.edges)
def test_specified_methods_numpy(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='floyd-warshall-numpy')
assert_almost_equal(ans, 4)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='floyd-warshall-numpy')
assert_almost_equal(ans, 4)
def test_biconnected_component_subgraphs_cycle():
G = nx.cycle_graph(3)
nx.add_cycle(G, [1, 3, 4, 5])
Gc = set(nx.biconnected_component_subgraphs(G))
assert_equal(len(Gc), 2)
g1, g2 = Gc
if 0 in g1:
assert_true(nx.is_isomorphic(g1, nx.Graph([(0, 1), (0, 2), (1, 2)])))
assert_true(
nx.is_isomorphic(g2, nx.Graph([(1, 3), (1, 5), (3, 4), (4, 5)])))
else:
assert_true(
nx.is_isomorphic(g1, nx.Graph([(1, 3), (1, 5), (3, 4), (4, 5)])))
assert_true(nx.is_isomorphic(g2, nx.Graph([(0, 1), (0, 2), (1, 2)])))
def main():
g = nx.Graph()
nx.add_cycle(g, range(5))
nx.add_cycle(g, range(5, 10))
g.add_node(20)
# 循環しているノードのリストを返す
print(nx.cycle_basis(g)) #=> [[1, 2, 3, 4, 0], [9, 8, 7, 6, 5]]
# もう1つ循環を作ってみる
g.add_edges_from([(0, 5), (3, 8)])
# 循環しているノードが1つ増えている
print(nx.cycle_basis(g)) #=> [[9, 8, 7, 6, 5],
def test_cycle_basis(self):
G=self.G
cy=networkx.cycle_basis(G,0)
sort_cy= sorted( sorted(c) for c in cy )
assert_equal(sort_cy, [[0,1,2,3],[0,1,6,7,8],[0,3,4,5]])
cy=networkx.cycle_basis(G,1)
sort_cy= sorted( sorted(c) for c in cy )
assert_equal(sort_cy, [[0,1,2,3],[0,1,6,7,8],[0,3,4,5]])
cy=networkx.cycle_basis(G,9)
sort_cy= sorted( sorted(c) for c in cy )
assert_equal(sort_cy, [[0,1,2,3],[0,1,6,7,8],[0,3,4,5]])
# test disconnected graphs
nx.add_cycle(G, "ABC")
cy=networkx.cycle_basis(G,9)
sort_cy= sorted(sorted(c) for c in cy[:-1]) + [sorted(cy[-1])]
assert_equal(sort_cy, [[0,1,2,3],[0,1,6,7,8],[0,3,4,5],['A','B','C']])
def test_strong_components_and_critical_vertices(self):
# Special instance of a graph where there are strong components
# and several critical vertices connected to them. Correct solution
# manually checked.
D: nx.DiGraph = nx.DiGraph()
nx.add_cycle(D, {1, 2, 3})
nx.add_cycle(D, {4, 5})
D.add_edge(1, 4)
D.add_nodes_from({i for i in range(6, 10)})
D.add_edge(5, 8)
D.add_edge(9, 4)
G, A, M = D_to_bipartite(D)
L = bipartite_matching_augmentation(G, A)
assert_equal(len(L), 3)
assert_true(is_correctly_augmented(G, A, L))
def test_cycle_basis(self):
G = self.G
cy = networkx.cycle_basis(G, 0)
sort_cy = sorted(sorted(c) for c in cy)
assert sort_cy == [[0, 1, 2, 3], [0, 1, 6, 7, 8], [0, 3, 4, 5]]
cy = networkx.cycle_basis(G, 1)
sort_cy = sorted(sorted(c) for c in cy)
assert sort_cy == [[0, 1, 2, 3], [0, 1, 6, 7, 8], [0, 3, 4, 5]]
cy = networkx.cycle_basis(G, 9)
sort_cy = sorted(sorted(c) for c in cy)
assert sort_cy == [[0, 1, 2, 3], [0, 1, 6, 7, 8], [0, 3, 4, 5]]
# test disconnected graphs
nx.add_cycle(G, "ABC")
cy = networkx.cycle_basis(G, 9)
sort_cy = sorted(sorted(c) for c in cy[:-1]) + [sorted(cy[-1])]
assert sort_cy == [[0, 1, 2, 3], [0, 1, 6, 7, 8], [0, 3, 4, 5], ["A", "B", "C"]]
def test_cycle_basis(self):
G = self.G
cy = networkx.cycle_basis(G, 0)
sort_cy = sorted(sorted(c) for c in cy)
assert_equal(sort_cy, [[0, 1, 2, 3], [0, 1, 6, 7, 8], [0, 3, 4, 5]])
cy = networkx.cycle_basis(G, 1)
sort_cy = sorted(sorted(c) for c in cy)
assert_equal(sort_cy, [[0, 1, 2, 3], [0, 1, 6, 7, 8], [0, 3, 4, 5]])
cy = networkx.cycle_basis(G, 9)
sort_cy = sorted(sorted(c) for c in cy)
assert_equal(sort_cy, [[0, 1, 2, 3], [0, 1, 6, 7, 8], [0, 3, 4, 5]])
# test disconnected graphs
nx.add_cycle(G, "ABC")
cy = networkx.cycle_basis(G, 9)
sort_cy = sorted(sorted(c) for c in cy[:-1]) + [sorted(cy[-1])]
assert_equal(sort_cy, [[0, 1, 2, 3], [0, 1, 6, 7, 8], [0, 3, 4, 5],
['A', 'B', 'C']])
def test_specified_methods(self):
G = nx.Graph()
nx.add_cycle(G, range(7), weight=2)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='dijkstra')
assert_almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='bellman-ford')
assert_almost_equal(ans, 4)
G = nx.Graph()
nx.add_path(G, range(5), weight=2)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='dijkstra')
assert_almost_equal(ans, 4)
ans = nx.average_shortest_path_length(G,
weight='weight',
method='bellman-ford')
assert_almost_equal(ans, 4)
def setUp(self):
G = networkx.Graph()
nx.add_cycle(G, [0, 1, 2, 3])
nx.add_cycle(G, [0, 3, 4, 5])
nx.add_cycle(G, [0, 1, 6, 7, 8])
G.add_edge(8, 9)
self.G = G
def test_biconnected_components2():
G=nx.Graph()
nx.add_cycle(G, 'ABC')
nx.add_cycle(G, 'CDE')
nx.add_cycle(G, 'FIJHG')
nx.add_cycle(G, 'GIJ')
G.add_edge('E','G')
comps = list(nx.biconnected_component_edges(G))
answer = [
[tuple('GF'), tuple('FI'), tuple('IG'), tuple('IJ'),
tuple('JG'), tuple('JH'), tuple('HG')],
[tuple('EG')],
[tuple('CD'), tuple('DE'), tuple('CE')],
[tuple('AB'), tuple('BC'), tuple('AC')]
]
assert_components_edges_equal(comps, answer)
def test_is_aperiodic_cycle2():
G = nx.DiGraph()
nx.add_cycle(G, [1, 2, 3, 4])
nx.add_cycle(G, [3, 4, 5, 6, 7])
assert_true(nx.is_aperiodic(G))
def test_weighted_multidigraph(self):
G = nx.MultiDiGraph()
nx.add_cycle(G, [0, 1, 2], weight=2)
nx.add_cycle(G, [2, 1, 0], weight=2)
vitality = nx.closeness_vitality(G,weight='weight')
assert_equal(vitality, {0: 8, 1: 8, 2: 8})
def test_not_connected(self):
G = nx.cycle_graph(4)
nx.add_cycle(G, [5, 6, 7])
assert_false(nx.is_distance_regular(G))
def test_articulation_points_cycle():
G=nx.cycle_graph(3)
nx.add_cycle(G, [1, 3, 4])
pts=set(nx.articulation_points(G))
assert_equal(pts, {1})
def test_is_biconnected():
G=nx.cycle_graph(3)
assert_true(nx.is_biconnected(G))
nx.add_cycle(G, [1, 3, 4])
assert_false(nx.is_biconnected(G))
def test_unsortable(self):
# TODO What does this test do? das 6/2013
G = nx.DiGraph()
nx.add_cycle(G, ['a', 1])
c = list(nx.simple_cycles(G))
def test_is_aperiodic_cycle3():
G = nx.DiGraph()
nx.add_cycle(G, [1, 2, 3, 4])
nx.add_cycle(G, [3, 4, 5, 6])
assert_false(nx.is_aperiodic(G))
def test_is_aperiodic_selfloop():
G = nx.DiGraph()
nx.add_cycle(G, [1, 2, 3, 4])
G.add_edge(1, 1)
assert_true(nx.is_aperiodic(G))
def test_is_aperiodic_disconnected2():
G = nx.DiGraph()
nx.add_cycle(G, [0, 1, 2])
G.add_edge(3, 3)
assert_false(nx.is_aperiodic(G))
def test_graphs_not_equal(self):
G = nx.path_graph(4)
H = nx.Graph()
nx.add_cycle(H, range(4))
self._test_not_equal(G,H)
def test_weighted(self):
G = nx.Graph()
nx.add_cycle(G, [0, 1, 2], weight=2)
vitality = nx.closeness_vitality(G, weight='weight')
assert_equal(vitality, {0: 4, 1: 4, 2: 4})
def test_directed_cycle_numpy(self):
G = nx.DiGraph()
nx.add_cycle(G, [0, 1, 2, 3])
pred, dist = nx.floyd_warshall_predecessor_and_distance(G)
D = nx.utils.dict_to_numpy_array(dist)
assert_equal(nx.floyd_warshall_numpy(G), D)
def test_biconnected_components_cycle():
G=nx.cycle_graph(3)
nx.add_cycle(G, [1, 3, 4])
answer = [{0, 1, 2}, {1, 3, 4}]
assert_components_equal(list(nx.biconnected_components(G)), answer)
def test_barbell():
G = nx.barbell_graph(8, 4)
nx.add_path(G, [7, 20, 21, 22])
nx.add_cycle(G, [22, 23, 24, 25])
pts = set(nx.articulation_points(G))
assert_equal(pts, {7, 8, 9, 10, 11, 12, 20, 21, 22})
answer = [
{12, 13, 14, 15, 16, 17, 18, 19},
{0, 1, 2, 3, 4, 5, 6, 7},
{22, 23, 24, 25},
{11, 12},
{10, 11},
{9, 10},
{8, 9},
{7, 8},
{21, 22},
{20, 21},
{7, 20},
]
assert_components_equal(list(nx.biconnected_components(G)), answer)
G.add_edge(2,17)
pts = set(nx.articulation_points(G))
assert_equal(pts, {7, 20, 21, 22})
