def test_statistical_profiling_cycle(c, s, a, b):
futures = c.map(slowinc, range(20), delay=0.05)
yield wait(futures)
yield gen.sleep(0.01)
end = time()
assert len(a.profile_history) > 3
x = a.get_profile(start=time() + 10, stop=time() + 20)
assert not x['count']
x = a.get_profile(start=0, stop=time())
assert x['count'] == sum(p['count'] for _, p in a.profile_history) + a.profile_recent['count']
y = a.get_profile(start=end - 0.300, stop=time())
assert 0 < y['count'] <= x['count']
def test_statistical_profiling_cycle(c, s, a, b):
futures = c.map(slowinc, range(20), delay=0.05)
yield wait(futures)
yield gen.sleep(0.01)
end = time()
assert len(a.profile_history) > 3
x = a.get_profile(start=time() + 10, stop=time() + 20)
assert not x['count']
x = a.get_profile(start=0, stop=time())
assert x['count'] == sum(p['count'] for _, p in a.profile_history) + a.profile_recent['count']
y = a.get_profile(start=end - 0.300, stop=time())
assert 0 < y['count'] <= x['count']
def test_statistical_profiling_2(c, s, a, b):
da = pytest.importorskip("dask.array")
for i in range(5):
x = da.random.random(1000000, chunks=(10000, ))
y = (x + x * 2) - x.sum().persist()
yield wait(y)
profile = a.get_profile()
assert profile["count"]
assert "sum" in str(profile) or "random" in str(profile)
def test_statistical_profiling_2(c, s, a, b):
da = pytest.importorskip('dask.array')
for i in range(5):
x = da.random.random(1000000, chunks=(10000,))
y = (x + x * 2) - x.sum().persist()
yield wait(y)
profile = a.get_profile()
assert profile['count']
assert 'sum' in str(profile) or 'random' in str(profile)
def test_statistical_profiling_2(c, s, a, b):
da = pytest.importorskip("dask.array")
while True:
x = da.random.random(1000000, chunks=(10000, ))
y = (x + x * 2) - x.sum().persist()
yield wait(y)
profile = a.get_profile()
text = str(profile)
if profile["count"] and "sum" in text and "random" in text:
break
