def setUp(self):
super(TestGraphCanvasMultiGraph, self).setUp()
# Add in some extra edges
G = nx.MultiGraph(self.input_G)
G.add_edge('a', 'c')
G.add_edge('out', 12)
G.add_edge('out', 12)
G.add_edge('out', 12)
self.input_G = G.copy()
# Viewer under test
self.a = nxv.GraphCanvas(G)
def setUp(self):
# Create graph same as basic GraphCanvas
super(TestGraphCanvasTkPassthrough, self).setUp()
# Add some attributes to the dictionary to pass through to tk
G = self.input_G.copy()
G.nodes['a']['fill'] = 'white'
G.nodes['a']['dash'] = (2, 2)
G.nodes[2]['label_fill'] = 'blue'
G.nodes[2]['label_text'] = 'LOOOOOONG'
G.get_edge_data('a', 'c').update({'dash': (2, 2)})
G.get_edge_data('out', 'c').update({'fill': 'red', 'width': 3})
self.input_G = G.copy()
# Viewer under test
self.a = nxv.GraphCanvas(G,
EdgeTokenClass=nxv.TkPassthroughEdgeToken,
NodeTokenClass=nxv.TkPassthroughNodeToken)
def setUp(self):
# Create the graph for testing
G = nx.Graph()
G.add_edge('a', 2)
G.add_edge(2, 'c')
G.add_edge('a', 'c')
G.add_edge('a', 4)
G.add_edge(4, 'c')
G.add_edge('out', 'c')
G.add_edge('c', 'd')
G.add_edge('d', 2)
# Growth edges
G.add_edge('out', 11)
G.add_edge('out', 12)
G.add_edge(12, 'd')
G.add_edge('TTTTT', 11)
G.add_edge('qqqq', 'TTTTT')
G.add_node('alone')
self.input_G = G.copy()
# Viewer under test
self.a = nxv.GraphCanvas(G)
def setUp(self):
super(TestGraphCanvasFiltered, self).setUp()
# Modify graph to include a "real" on all existing nodes which
# evaluates to True when we we will filter by them
G = self.a.dataG
for n in G.nodes():
G.nodes[n]['real'] = True
# Now we're going to add a couple of "fake" nodes; IE, nodes
# that should be not be displayed because they are not in the filter.
# If they do show up, they'll cause us to fail some of the base checks
G.add_edge('out', 'fake1')
G.add_edge('a', 'fake2')
G.add_edge('qqqq', 'fake3')
G.add_edge('fake3', 'fake4')
G.add_node('fake_alone')
# Viewer under test
self.a = nxv.GraphCanvas(G)
self.input_G = G
#gself.filter_lambda = "not str(u).startswith('fake')"
self.filter_lambda = "d.get('real',False)"
self.a.add_filter(self.filter_lambda)