def zeroReceptiveField(self):
graph = nx.star_graph(self.k - 1) #random graph peu importe sa tete
nx.set_node_attributes(graph, self.dummy_value, 'attr_name')
nx.set_node_attributes(graph,
{k: k
for k, v in dict(graph.nodes()).items()},
'labeling')
return graph
def create_empty_receptive_field(self):
"""
Method that creates a dummy receptive field for padding purposes
:return: a receptive field of dummy nodes
"""
graph = nx.star_graph(self.rf_size - 1)
nx.set_node_attributes(graph, self.dummy_value, 'attr_name')
nx.set_node_attributes(graph, {element: element for element, v in dict(graph.nodes()).items()}, 'labeling')
return graph
def test_undirected_unweighted_star(self):
G = nx.star_graph(2)
grc = nx.local_reaching_centrality
assert grc(G, 1, weight=None, normalized=False) == 0.75
def test_undirected_unweighted_star(self):
G = nx.star_graph(2)
grc = nx.global_reaching_centrality
assert_equal(grc(G, normalized=False, weight=None), 0.25)
def test_undirected_unweighted_star(self):
G = nx.star_graph(2)
assert_equal(nx.global_reaching_centrality(G, normalized=False), 0.25)
def test_undirected_unweighted_star(self):
G = nx.star_graph(2)
centrality = nx.local_reaching_centrality(G, 1, normalized=False)
assert_equal(centrality, 0.75)
def test_undirected_unweighted_star(self):
G = nx.star_graph(2)
centrality = nx.local_reaching_centrality(G, 1, normalized=False)
assert_equal(centrality, 0.75)
