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