def test_decollate_overlay_of_dmaps(self):
overlay = Overlay([
DynamicMap(lambda z: Points([z, z]), streams=[Z()]),
DynamicMap(lambda z: Points([z, z]), streams=[Z()]),
DynamicMap(lambda z: Points([z, z]), streams=[Z()]),
])
decollated = overlay.decollate()
self.assertIsInstance(decollated, DynamicMap)
self.assertEqual(len(decollated.streams), 3)
expected = Overlay(
[Points([1.0, 1.0]),
Points([2.0, 2.0]),
Points([3.0, 3.0])])
# Build result by updating streams
decollated.streams[0].event(z=1.0)
decollated.streams[1].event(z=2.0)
decollated.streams[2].event(z=3.0)
result = decollated[()]
self.assertEqual(expected, result)
# Build result by calling callback function
result = decollated.callback.callable(dict(z=1.0), dict(z=2.0),
dict(z=3.0))
self.assertEqual(expected, result)
def test_interleaved_overlay(self):
"""
Test to avoid regression after fix of https://github.com/holoviz/holoviews/issues/41
"""
o = Overlay([
Curve(np.array([[0, 1]])),
Scatter([[1, 1]]),
Curve(np.array([[0, 1]]))
])
OverlayPlot(o)
def test_holomap_legend_updates_varying_lengths(self):
hmap = HoloMap({i: Overlay([Curve([1, 2, j], label=chr(65+j)) for j in range(i)]) for i in range(1, 4)})
plot = bokeh_renderer.get_plot(hmap)
legend_labels = [item.label for item in plot.state.legend[0].items]
self.assertEqual(legend_labels, [{'value': 'A'}])
plot.update((2,))
legend_labels = [item.label for item in plot.state.legend[0].items]
self.assertEqual(legend_labels, [{'value': 'A'}, {'value': 'B'}])
plot.update((3,))
legend_labels = [item.label for item in plot.state.legend[0].items]
self.assertEqual(legend_labels, [{'value': 'A'}, {'value': 'B'}, {'value': 'C'}])
def callback(items):
return NdOverlay({j: Overlay([Curve([1, 2, j])]) for j in range(items)})
def test_overlay_gridspace_collate(self):
grid = GridSpace({(i, j): Curve(np.arange(10) * i)
for i in range(3) for j in range(3)})
overlaid = Overlay([grid, grid, grid]).collate()
self.assertEqual(overlaid, grid * grid * grid)
def test_overlay_hmap_collate(self):
hmap = HoloMap({i: Curve(np.arange(10) * i) for i in range(3)})
overlaid = Overlay([hmap, hmap, hmap]).collate()
self.assertEqual(overlaid, hmap * hmap * hmap)