Files
2026-07-13 13:17:40 +08:00

176 lines
4.0 KiB
Python

import asyncio
import concurrent.futures
import sys
import time
import numpy as np
import pytest
import ray
from ray._common.test_utils import wait_for_condition
from ray._common.utils import (
get_or_create_event_loop,
)
@pytest.fixture
def init():
ray.init(num_cpus=4)
get_or_create_event_loop().set_debug(False)
yield
ray.shutdown()
def gen_tasks(time_scale=0.1):
@ray.remote
def f(n):
time.sleep(n * time_scale)
return n, np.zeros(1024 * 1024, dtype=np.uint8)
return [f.remote(i) for i in range(5)]
def test_simple(init):
@ray.remote
def f():
time.sleep(1)
return np.zeros(1024 * 1024, dtype=np.uint8)
future = asyncio.ensure_future(f.remote())
result = get_or_create_event_loop().run_until_complete(future)
assert isinstance(result, np.ndarray)
def test_gather(init):
loop = get_or_create_event_loop()
tasks = gen_tasks()
results = loop.run_until_complete(asyncio.gather(*tasks))
assert all(a[0] == b[0] for a, b in zip(results, ray.get(tasks)))
def test_wait(init):
loop = get_or_create_event_loop()
tasks = gen_tasks()
futures = [asyncio.ensure_future(obj_ref) for obj_ref in tasks]
results, _ = loop.run_until_complete(asyncio.wait(futures))
assert set(results) == set(futures)
def test_wait_timeout(init):
loop = get_or_create_event_loop()
tasks = gen_tasks(10)
futures = [asyncio.ensure_future(obj_ref) for obj_ref in tasks]
fut = asyncio.wait(futures, timeout=1)
results, _ = loop.run_until_complete(fut)
assert list(results)[0] == futures[0]
def test_gather_mixup(init):
loop = get_or_create_event_loop()
@ray.remote
def f(n):
time.sleep(n * 0.1)
return n, np.zeros(1024 * 1024, dtype=np.uint8)
async def g(n):
await asyncio.sleep(n * 0.1)
return n, np.zeros(1024 * 1024, dtype=np.uint8)
tasks = [
f.remote(1),
g(2),
f.remote(3),
g(4),
]
results = loop.run_until_complete(asyncio.gather(*tasks))
assert [result[0] for result in results] == [1, 2, 3, 4]
def test_wait_mixup(init):
loop = get_or_create_event_loop()
@ray.remote
def f(n):
time.sleep(n)
return n, np.zeros(1024 * 1024, dtype=np.uint8)
def g(n):
async def _g(_n):
await asyncio.sleep(_n)
return _n
return asyncio.ensure_future(_g(n))
tasks = [
asyncio.ensure_future(f.remote(0.1)),
g(7),
asyncio.ensure_future(f.remote(5)),
g(2),
]
ready, _ = loop.run_until_complete(asyncio.wait(tasks, timeout=4))
assert set(ready) == {tasks[0], tasks[-1]}
@pytest.mark.asyncio
@pytest.mark.parametrize(
"ray_start_regular",
[
{
"object_store_memory": 100 * 1024 * 1024,
}
],
indirect=True,
)
async def test_garbage_collection(ray_start_regular):
# This is a regression test for
# https://github.com/ray-project/ray/issues/9134
@ray.remote
def f():
return np.zeros(20 * 1024 * 1024, dtype=np.uint8)
for _ in range(10):
await f.remote()
for _ in range(10):
put_id = ray.put(np.zeros(20 * 1024 * 1024, dtype=np.uint8))
await put_id
def test_concurrent_future(init):
ref = ray.put(1)
fut = ref.future()
assert isinstance(fut, concurrent.futures.Future)
wait_for_condition(lambda: fut.done())
global_result = None
def cb(fut):
nonlocal global_result
global_result = fut.result()
fut.add_done_callback(cb)
assert global_result == 1
assert fut.result() == 1
def test_concurrent_future_many(init):
@ray.remote
def task(i):
return i
refs = [task.remote(i) for i in range(100)]
futs = [ref.future() for ref in refs]
result = set()
for fut in concurrent.futures.as_completed(futs):
assert fut.done()
result.add(fut.result())
assert result == set(range(100))
if __name__ == "__main__":
sys.exit(pytest.main(["-sv", __file__]))