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Sven
60d4d5e1aa
* Remove all __future__ imports from RLlib. * Remove (object) again from tf_run_builder.py::TFRunBuilder. * Fix 2xLINT warnings. * Fix broken appo_policy import (must be appo_tf_policy) * Remove future imports from all other ray files (not just RLlib). * Remove future imports from all other ray files (not just RLlib). * Remove future import blocks that contain `unicode_literals` as well. Revert appo_tf_policy.py to appo_policy.py (belongs to another PR). * Add two empty lines before Schedule class. * Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
import ray
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from ray.test_utils import run_string_as_driver
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# This tests the queue transitions for infeasible tasks. This has been an issue
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# in the past, e.g., https://github.com/ray-project/ray/issues/3275.
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def test_infeasible_tasks(ray_start_cluster):
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cluster = ray_start_cluster
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@ray.remote
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def f():
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return
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cluster.add_node(resources={str(0): 100})
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ray.init(address=cluster.address)
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# Submit an infeasible task.
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x_id = f._submit(args=[], kwargs={}, resources={str(1): 1})
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# Add a node that makes the task feasible and make sure we can get the
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# result.
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cluster.add_node(resources={str(1): 100})
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ray.get(x_id)
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# Start a driver that submits an infeasible task and then let it exit.
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driver_script = """
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import ray
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ray.init(address="{}")
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@ray.remote(resources={})
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def f():
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{}pass # This is a weird hack to insert some blank space.
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f.remote()
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""".format(cluster.address, "{str(2): 1}", " ")
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run_string_as_driver(driver_script)
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# Now add a new node that makes the task feasible.
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cluster.add_node(resources={str(2): 100})
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# Make sure we can still run tasks on all nodes.
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ray.get([
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f._submit(args=[], kwargs={}, resources={str(i): 1}) for i in range(3)
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])
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if __name__ == "__main__":
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import pytest
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import sys
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sys.exit(pytest.main(["-v", __file__]))
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