def test_repeated():
with clean(threads=False):
with LocalCluster(0,
scheduler_port=8448,
silence_logs=False,
dashboard_address=None) as c:
pass
with LocalCluster(0,
scheduler_port=8448,
silence_logs=False,
dashboard_address=None) as c:
pass
def test_repeated():
with clean(threads=False):
with LocalCluster(n_workers=0,
scheduler_port=8448,
silence_logs=False,
dashboard_address=":0"):
pass
with LocalCluster(n_workers=0,
scheduler_port=8448,
silence_logs=False,
dashboard_address=":0"):
pass
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_basic_no_loop(loop):
with clean(threads=False):
try:
with LocalCluster(
n_workers=0, silence_logs=False, dashboard_address=":0"
) as cluster:
with Client(cluster) as client:
cluster.adapt()
future = client.submit(lambda x: x + 1, 1)
assert future.result() == 2
loop = cluster.loop
finally:
loop.add_callback(loop.stop)
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()
def test_client_cluster_synchronous(loop):
with clean(threads=False):
with Client(loop=loop, processes=False) as c:
assert not c.asynchronous
assert not c.cluster.asynchronous
