def test_GraphPlot_complex(c, s, a, b):
da = pytest.importorskip('dask.array')
gp = GraphPlot(s)
x = da.random.random((2000, 2000), chunks=(1000, 1000))
y = ((x + x.T) - x.mean(axis=0)).persist()
yield wait(y)
gp.update()
assert len(gp.layout.index) == len(gp.node_source.data['x'])
assert len(gp.layout.index) == len(s.tasks)
z = (x - y).sum().persist()
yield wait(z)
gp.update()
assert len(gp.layout.index) == len(gp.node_source.data['x'])
assert len(gp.layout.index) == len(s.tasks)
del z
yield gen.sleep(0.2)
gp.update()
assert len(gp.layout.index) == sum(v == 'True'
for v in gp.node_source.data['visible'])
assert len(gp.layout.index) == len(s.tasks)
assert max(gp.layout.index.values()) < len(gp.node_source.data['visible'])
assert gp.layout.next_index == len(gp.node_source.data['visible'])
gp.update()
assert set(gp.layout.index.values()) == set(range(len(gp.layout.index)))
visible = gp.node_source.data['visible']
keys = list(map(tokey, flatten(y.__dask_keys__())))
assert all(visible[gp.layout.index[key]] == 'True' for key in keys)
def test_GraphPlot_order(c, s, a, b):
x = c.submit(inc, 1)
y = c.submit(div, 1, 0)
yield wait(y)
gp = GraphPlot(s)
gp.update()
assert gp.node_source.data['state'][gp.layout.index[y.key]] == 'erred'
def test_GraphPlot(c, s, a, b):
gp = GraphPlot(s)
futures = c.map(inc, range(5))
total = c.submit(sum, futures)
yield total
gp.update()
assert set(map(len, gp.node_source.data.values())) == {6}
assert set(map(len, gp.edge_source.data.values())) == {5}
da = pytest.importorskip('dask.array')
x = da.random.random((20, 20), chunks=(10, 10)).persist()
y = (x + x.T) - x.mean(axis=0)
y = y.persist()
yield wait(y)
gp.update()
gp.update()
yield c.compute((x + y).sum())
gp.update()
future = c.submit(inc, 10)
future2 = c.submit(inc, future)
yield wait(future2)
key = future.key
del future, future2
while key in s.tasks:
yield gen.sleep(0.01)
assert 'memory' in gp.node_source.data['state']
gp.update()
gp.update()
assert not all(x == 'False' for x in gp.edge_source.data['visible'])
def test_GraphPlot_clear(c, s, a, b):
gp = GraphPlot(s)
futures = c.map(inc, range(5))
total = c.submit(sum, futures)
yield total
gp.update()
del total, futures
while s.tasks:
yield gen.sleep(0.01)
gp.update()
gp.update()
start = time()
while any(gp.node_source.data.values()) or any(gp.edge_source.data.values()):
yield gen.sleep(0.1)
gp.update()
assert time() < start + 5
