def test_functions(self):
g = dn.DynGraph()
g.add_interaction(1, 2, 2)
g.add_interaction(1, 2, 2, e=6)
g.add_interaction(1, 2, 7, e=11)
g.add_interaction(1, 2, 8, e=15)
g.add_interaction(1, 2, 18)
g.add_interaction(1, 2, 19)
self.assertEqual(len(dn.nodes(g)), 2)
self.assertEqual(len(dn.nodes(g, t=0)), 0)
self.assertEqual(len(dn.nodes(g, t=2)), 2)
self.assertEqual(len(dn.interactions(g)), 1)
self.assertEqual(len(dn.interactions(g, t=0)), 0)
self.assertEqual(len(dn.interactions(g, t=2)), 1)
self.assertDictEqual(dn.degree(g), {1: 1, 2: 1})
self.assertDictEqual(dn.degree(g, t=0), {1: 0, 2: 0})
self.assertDictEqual(dn.degree(g, [1, 2]), {1: 1, 2: 1})
self.assertEqual(len(dn.neighbors(g, 1)), 1)
self.assertEqual(len(dn.neighbors(g, 1, t=2)), 1)
self.assertEqual(len(dn.neighbors(g, 1, t=0)), 0)
self.assertEqual(dn.number_of_nodes(g), 2)
self.assertEqual(dn.number_of_nodes(g, t=0), 0)
self.assertEqual(dn.number_of_nodes(g, t=2), 2)
self.assertEqual(dn.number_of_interactions(g, t=0), 0)
self.assertEqual(dn.number_of_interactions(g, t=2), 1)
self.assertEqual(dn.number_of_interactions(g), 1)
self.assertEqual(dn.density(g), 1.0)
self.assertEqual(dn.density(g, t=0), 0)
self.assertEqual(dn.density(g, t=2), 0)
self.assertEqual(dn.degree_histogram(g), [0, 2])
self.assertEqual(dn.degree_histogram(g, t=0), [2])
self.assertEqual(dn.degree_histogram(g, t=2), [0, 2])
self.assertEqual(dn.is_directed(g), False)
dn.add_cycle(g, [1, 2, 3, 4], t=30)
dn.add_path(g, [4, 6, 7, 8], t=40)
dn.add_star(g, [1, 2, 3, 4], t=50)
dn.subgraph(g, [1, 3, 4])
dn.create_empty_copy(g)
self.assertEqual(len(dn.all_neighbors(g, 1, t=0)), 0)
self.assertEqual(len(dn.all_neighbors(g, 1)), 3)
self.assertEqual(len(dn.all_neighbors(g, 1, t=2)), 1)
self.assertEqual(len(list(dn.non_neighbors(g, 1, t=0))), 6)
self.assertEqual(len(list(dn.non_neighbors(g, 1))), 3)
self.assertEqual(len(list(dn.non_neighbors(g, 1, t=2))), 5)
dn.non_interactions(g, 2)
dn.non_interactions(g, 0)
dn.non_interactions(g)
self.assertEqual(dn.is_empty(g), False)
h = dn.DynGraph()
self.assertEqual(dn.is_empty(h), True)
h = dn.time_slice(g, 2, 4)
self.assertEqual(len(h.nodes()), 2)
dn.stream_interactions(g)
dn.temporal_snapshots_ids(g)
dn.interactions_per_snapshots(g, 0)
dn.interactions_per_snapshots(g, 2)
dn.interactions_per_snapshots(g)
dn.inter_event_time_distribution(g)
dn.inter_event_time_distribution(g, 1)
dn.inter_event_time_distribution(g, 1, 2)
dn.set_node_attributes(g,
values={n: 0
for n in g.nodes()},
name="test")
try:
dn.set_node_attributes(g, values={90000: 0}, name="test")
except:
pass
try:
dn.set_node_attributes(g, "test1", name="test")
except:
pass
dn.set_node_attributes(g, values={n: {"a": 3} for n in g.nodes()})
try:
dn.set_node_attributes(g, values={9000: {"a": 3}})
except:
pass
dn.get_node_attributes(g, name="test")
try:
dn.set_edge_attributes(g, 3, "dog")
except:
pass
try:
dn.get_edge_attributes(g, "test")
except:
pass
dn.freeze(g)
self.assertEqual(dn.is_frozen(g), True)
h = g.to_directed()
dn.all_neighbors(h, 1)
self.assertEqual(len(list(dn.non_interactions(g))), 13)
import networkx as nx
import numpy as np
import matplotlib
import dynetx as dn
import matplotlib.pyplot as plt
plt.close("all")
'''
plt.figure()
G= nx.Graph()
G.add_edge('a','b',timestamp='t1')
G.add_node('c',timestamp='t1')
G.add_edge('a','b',timestamp='t2')
G.add_edge('a','c',timestamp='t2')
G.add_edge('b','c',timestamp='t2')
'''
plt.figure()
G = dn.DynGraph(edge_removal=True)
G.add_path([0, 1, 2], 0)
dn.nodes(G, t=0)
G.add_edge(2, 3, t=1)
dn.interactions(G, t=0)
#G.add_interaction(u=1, v=2, t=0, e=3)
nx.draw(G)
plt.show()