chore: import upstream snapshot with attribution
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import signal
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import sys
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import numpy as np
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import pytest
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import ray
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SIGKILL = signal.SIGKILL if sys.platform != "win32" else signal.SIGTERM
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@pytest.fixture
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def config(request):
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config = {
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"health_check_initial_delay_ms": 0,
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"health_check_period_ms": 100,
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"health_check_failure_threshold": 10,
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"object_timeout_milliseconds": 200,
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}
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yield config
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@pytest.mark.skipif(sys.platform == "win32", reason="Failing on Windows.")
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def test_reconstruction_stress_spill(config, ray_start_cluster):
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config["task_retry_delay_ms"] = 100
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config["max_direct_call_object_size"] = 100
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cluster = ray_start_cluster
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# Head node with no resources.
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cluster.add_node(
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num_cpus=0, _system_config=config, enable_object_reconstruction=True
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)
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ray.init(address=cluster.address)
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# Node to place the initial object.
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node_to_kill = cluster.add_node(
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num_cpus=1, resources={"node1": 1}, object_store_memory=10**8
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)
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cluster.add_node(num_cpus=1, resources={"node2": 1}, object_store_memory=10**8)
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cluster.wait_for_nodes()
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@ray.remote
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def large_object():
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return np.zeros(10**6, dtype=np.uint8)
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@ray.remote
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def dependent_task(x):
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return
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for _ in range(3):
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obj = large_object.options(resources={"node1": 1}).remote()
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ray.get(dependent_task.options(resources={"node2": 1}).remote(obj))
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outputs = [
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large_object.options(resources={"node1": 1}).remote() for _ in range(1000)
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]
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outputs = [
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dependent_task.options(resources={"node2": 1}).remote(obj)
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for obj in outputs
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]
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cluster.remove_node(node_to_kill, allow_graceful=False)
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node_to_kill = cluster.add_node(
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num_cpus=1, resources={"node1": 1}, object_store_memory=10**8
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)
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i = 0
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while outputs:
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ref = outputs.pop(0)
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print(i, ref)
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ray.get(ref)
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i += 1
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if __name__ == "__main__":
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sys.exit(pytest.main(["-sv", __file__]))
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