def test_cleanup():
c = LocalCluster(2, scheduler_port=0, silence_logs=False,
diagnostic_port=None)
port = c.scheduler.port
c.close()
c2 = LocalCluster(2, scheduler_port=port, silence_logs=False,
diagnostic_port=None)
c.close()
def test_cleanup():
with clean(threads=False):
c = LocalCluster(n_workers=2,
silence_logs=False,
dashboard_address=":0")
port = c.scheduler.port
c.close()
c2 = LocalCluster(n_workers=2,
scheduler_port=port,
silence_logs=False,
dashboard_address=":0")
c2.close()
def test_cleanup():
c = LocalCluster(2,
scheduler_port=0,
silence_logs=False,
diagnostics_port=None)
port = c.scheduler.port
c.close()
c2 = LocalCluster(2,
scheduler_port=port,
silence_logs=False,
diagnostics_port=None)
c.close()
def test_close_twice(loop):
cluster = LocalCluster()
with Client(cluster.scheduler_address) as client:
f = client.map(inc, range(100))
client.gather(f)
with captured_logger('tornado.application') as log:
cluster.close()
cluster.close()
sleep(0.5)
log = log.getvalue()
print(log)
assert not log
def test_starts_up_sync(loop):
cluster = LocalCluster(
n_workers=2,
loop=loop,
processes=False,
scheduler_port=0,
dashboard_address=None,
)
try:
assert len(cluster.scheduler.workers) == 2
finally:
cluster.close()
def test_dont_select_closed_worker():
# Make sure distributed does not try to reuse a client from a
# closed cluster (https://github.com/dask/distributed/issues/2840).
with clean(threads=False):
cluster = LocalCluster(n_workers=0)
c = Client(cluster)
cluster.scale(2)
assert c == get_client()
c.close()
cluster.close()
cluster2 = LocalCluster(n_workers=0)
c2 = Client(cluster2)
cluster2.scale(2)
current_client = get_client()
assert c2 == current_client
cluster2.close()
c2.close()