def setUp(self):
super(TestBokehGraphPlot, self).setUp()
N = 8
self.nodes = circular_layout(np.arange(N, dtype=np.int32))
self.source = np.arange(N, dtype=np.int32)
self.target = np.zeros(N, dtype=np.int32)
self.weights = np.random.rand(N)
self.graph = Graph(((self.source, self.target),))
self.node_info = Dataset(['Output']+['Input']*(N-1), vdims=['Label'])
self.node_info2 = Dataset(self.weights, vdims='Weight')
self.graph2 = Graph(((self.source, self.target), self.node_info))
self.graph3 = Graph(((self.source, self.target), self.node_info2))
self.graph4 = Graph(((self.source, self.target, self.weights),), vdims='Weight')
def setUp(self):
super(TestMplGraphPlot, self).setUp()
N = 8
self.nodes = circular_layout(np.arange(N, dtype=np.int32))
self.source = np.arange(N, dtype=np.int32)
self.target = np.zeros(N, dtype=np.int32)
self.weights = np.random.rand(N)
self.graph = Graph(((self.source, self.target),))
self.node_info = Dataset(['Output']+['Input']*(N-1), vdims=['Label'])
self.node_info2 = Dataset(self.weights, vdims='Weight')
self.graph2 = Graph(((self.source, self.target), self.node_info))
self.graph3 = Graph(((self.source, self.target), self.node_info2))
self.graph4 = Graph(((self.source, self.target, self.weights),), vdims='Weight')
def setUp(self):
if not mpl_renderer:
raise SkipTest('Matplotlib tests require matplotlib to be available')
self.previous_backend = Store.current_backend
Store.current_backend = 'matplotlib'
self.default_comm = mpl_renderer.comms['default']
mpl_renderer.comms['default'] = (comms.Comm, '')
N = 8
self.nodes = circular_layout(np.arange(N))
self.source = np.arange(N)
self.target = np.zeros(N)
self.graph = Graph(((self.source, self.target),))
self.node_info = Dataset(['Output']+['Input']*(N-1), vdims=['Label'])
self.graph2 = Graph(((self.source, self.target), self.node_info))
def setUp(self):
if not bokeh_renderer:
raise SkipTest("Bokeh required to test plot instantiation")
elif bokeh_version < str('0.12.9'):
raise SkipTest("Bokeh >= 0.12.9 required to test graphs")
self.previous_backend = Store.current_backend
Store.current_backend = 'bokeh'
self.default_comm = bokeh_renderer.comms['default']
N = 8
self.nodes = circular_layout(np.arange(N))
self.source = np.arange(N)
self.target = np.zeros(N)
self.graph = Graph(((self.source, self.target),))
self.node_info = Dataset(['Output']+['Input']*(N-1), vdims=['Label'])
self.graph2 = Graph(((self.source, self.target), self.node_info))
def setUp(self):
if not mpl_renderer:
raise SkipTest(
'Matplotlib tests require matplotlib to be available')
self.previous_backend = Store.current_backend
Store.current_backend = 'matplotlib'
self.default_comm = mpl_renderer.comms['default']
mpl_renderer.comms['default'] = (comms.Comm, '')
N = 8
self.nodes = circular_layout(np.arange(N))
self.source = np.arange(N)
self.target = np.zeros(N)
self.graph = Graph(((self.source, self.target), ))
self.node_info = Dataset(['Output'] + ['Input'] * (N - 1),
vdims=['Label'])
self.graph2 = Graph(((self.source, self.target), self.node_info))
def setUp(self):
if not bokeh_renderer:
raise SkipTest("Bokeh required to test plot instantiation")
self.previous_backend = Store.current_backend
Store.current_backend = 'bokeh'
self.default_comm = bokeh_renderer.comms['default']
N = 8
self.nodes = circular_layout(np.arange(N, dtype=np.int32))
self.source = np.arange(N, dtype=np.int32)
self.target = np.zeros(N, dtype=np.int32)
self.weights = np.random.rand(N)
self.graph = Graph(((self.source, self.target), ))
self.node_info = Dataset(['Output'] + ['Input'] * (N - 1),
vdims=['Label'])
self.node_info2 = Dataset(self.weights, vdims='Weight')
self.graph2 = Graph(((self.source, self.target), self.node_info))
self.graph3 = Graph(((self.source, self.target), self.node_info2))
self.graph4 = Graph(((self.source, self.target, self.weights), ),
vdims='Weight')