def test_real_ray_fallback(ray_start_regular_shared):
with ray_start_client_server() as ray:
@ray.remote
def get_nodes_real():
import ray as real_ray
return real_ray.nodes()
nodes = ray.get(get_nodes_real.remote())
assert len(nodes) == 1, nodes
@ray.remote
def get_nodes():
# Can access the full Ray API in remote methods.
return ray.nodes()
nodes = ray.get(get_nodes.remote())
assert len(nodes) == 1, nodes
with pytest.raises(NotImplementedError):
print(ray.nodes())
def test_real_ray_fallback(ray_start_regular_shared):
server = ray_client_server.serve("localhost:50051")
ray.connect("localhost:50051")
@ray.remote
def get_nodes_real():
import ray as real_ray
return real_ray.nodes()
nodes = ray.get(get_nodes_real.remote())
assert len(nodes) == 1, nodes
@ray.remote
def get_nodes():
return ray.nodes() # Can access the full Ray API in remote methods.
nodes = ray.get(get_nodes.remote())
assert len(nodes) == 1, nodes
with pytest.raises(NotImplementedError):
print(ray.nodes())
server.stop(0)
def get_nodes():
# Can access the full Ray API in remote methods.
return ray.nodes()
print(x, type(fact))
if x <= 0:
return 1
# This hits the "nested tasks" issue
# https://github.com/ray-project/ray/issues/3644
# So we're on the right track!
return ray.get(fact.remote(x - 1)) * x
@ray.remote
def get_nodes():
return ray.nodes() # Can access the full Ray API in remote methods.
print("Cluster nodes", ray.get(get_nodes.remote()))
print(ray.nodes())
objectref = ray.put("hello world")
# `ClientObjectRef(...)`
print(objectref)
# `hello world`
print(ray.get(objectref))
ref2 = plus2.remote(234)
# `ClientObjectRef(...)`
print(ref2)
# `236`
print(ray.get(ref2))
