def ray_start_1_cpu():
address_info = ray.init(num_cpus=1)
yield address_info
# The code after the yield will run as teardown code.
ray.shutdown()
@pytest.fixture
def ray_start_4_cpu():
address_info = ray.init(num_cpus=4)
yield address_info
# The code after the yield will run as teardown code.
ray.shutdown()
@pytest.mark.skipif(test_external_redis(),
reason="The same Redis is used within the test.")
def test_ray_init(shutdown_only):
def getpid(args):
return os.getpid()
def check_pool_size(pool, size):
args = [tuple() for _ in range(size)]
assert len(set(pool.map(getpid, args))) == size
# Check that starting a pool starts ray if not initialized.
pool = Pool(processes=2)
assert ray.is_initialized()
assert int(ray.cluster_resources()["CPU"]) == 2
check_pool_size(pool, 2)
pool.terminate()
def maybe_external_redis(request):
if test_external_redis():
with _setup_redis(request):
yield
else:
yield
runtime_env: "RuntimeEnv",
ctx: RuntimeEnvContext # noqa: F821
) -> float:
sleep(3600)
class DiasbleTimeoutPlugin(DummyPlugin):
def create(
uri: str,
runtime_env: "RuntimeEnv",
ctx: RuntimeEnvContext # noqa: F821
) -> float:
sleep(10)
@pytest.mark.skipif(test_external_redis(), reason="Failing in redis mode.")
def test_plugin_timeout(start_cluster):
@ray.remote(num_cpus=0.1)
def f():
return True
refs = [
f.options(
runtime_env={
"plugins": {
HANG_PLUGIN_CLASS_PATH: {
"name": "f1"
},
},
"config": {
"setup_timeout_seconds": 10
