def test_scale_up_and_down():
loop = IOLoop.current()
cluster = LocalCluster(0,
scheduler_port=0,
processes=False,
silence_logs=False,
diagnostics_port=None,
loop=loop,
start=False)
c = yield Client(cluster, loop=loop, asynchronous=True)
assert not cluster.workers
yield cluster.scale_up(2)
assert len(cluster.workers) == 2
assert len(cluster.scheduler.ncores) == 2
addr = cluster.workers[0].address
yield cluster.scale_down([addr])
assert len(cluster.workers) == 1
assert addr not in cluster.scheduler.ncores
yield c._close()
yield cluster._close()
def test_scale_up_and_down():
loop = IOLoop.current()
cluster = LocalCluster(0,
scheduler_port=0,
nanny=False,
silence_logs=False,
diagnostic_port=None,
loop=loop,
start=False)
c = Client(cluster, start=False, loop=loop)
yield c._start()
assert not cluster.workers
yield cluster.scale_up(2)
assert len(cluster.workers) == 2
assert len(cluster.scheduler.ncores) == 2
addr = cluster.workers[0].address
yield cluster.scale_down([addr])
assert len(cluster.workers) == 1
assert addr not in cluster.scheduler.ncores
yield c._shutdown()
yield cluster._close()
def test_dask_cv_single(self):
test_cluster = LocalCluster(1)
test_client = Client(test_cluster)
iris = load_iris()
reg = tree.DecisionTreeClassifier()
cv_score = test_client.submit(cross_val_score, reg, iris.data,
iris.target)
self.assertGreater(cv_score.result().mean(), 0)
test_cluster.scale_up(4)
_cv_results = {
'reg_%i':
test_client.submit(cross_val_score,
tree.DecisionTreeClassifier(min_samples_leaf=i),
iris.data, iris.target)
for i in range(5)
}
cv_results = test_client.gather(list(_cv_results.values()))
for cv_result in cv_results:
self.assertGreaterEqual(cv_result.mean(), 0)
def test_scale_up_and_down():
loop = IOLoop.current()
cluster = LocalCluster(0, scheduler_port=0, nanny=False, silence_logs=False,
diagnostics_port=None, loop=loop, start=False)
c = Client(cluster, start=False, loop=loop)
yield c._start()
assert not cluster.workers
yield cluster.scale_up(2)
assert len(cluster.workers) == 2
assert len(cluster.scheduler.ncores) == 2
addr = cluster.workers[0].address
yield cluster.scale_down([addr])
assert len(cluster.workers) == 1
assert addr not in cluster.scheduler.ncores
yield c._shutdown()
yield cluster._close()
