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master/scheduler: Fix priority/due date precedence order when waiting to prepare
See test case – previously, the highest-priority pending run would be used to calculate the timeout, rather than the earliest one. This probably managed to go undetected for that long as any unrelated changes to the pipeline (e.g. new submissions, or experiments pausing) would also cause _get_run() to be re-evaluated.
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@ -87,17 +87,12 @@ class Run:
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self._notifier[self.rid]["status"] = self._status.name
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self._state_changed.notify()
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# The run with the largest priority_key is to be scheduled first
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def priority_key(self, now=None):
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if self.due_date is None:
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due_date_k = 0
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else:
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due_date_k = -self.due_date
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if now is not None and self.due_date is not None:
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runnable = int(now > self.due_date)
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else:
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runnable = 1
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return (runnable, self.priority, due_date_k, -self.rid)
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def priority_key(self):
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"""Return a comparable value that defines a run priority order.
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Applies only to runs the due date of which has already elapsed.
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"""
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return (self.priority, -(self.due_date or 0), -self.rid)
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async def close(self):
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# called through pool
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@ -161,36 +156,37 @@ class PrepareStage(TaskObject):
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self.delete_cb = delete_cb
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def _get_run(self):
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"""If a run should get prepared now, return it.
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Otherwise, return a float representing the time before the next timed
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run becomes due, or None if there is no such run."""
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"""If a run should get prepared now, return it. Otherwise, return a
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float giving the time until the next check, or None if no time-based
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check is required.
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The latter can be the case if there are no due-date runs, or none
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of them are going to become next-in-line before further pool state
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changes (which will also cause a re-evaluation).
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"""
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pending_runs = list(
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filter(lambda r: r.status == RunStatus.pending,
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self.pool.runs.values()))
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now = time()
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pending_runs = filter(lambda r: r.status == RunStatus.pending,
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self.pool.runs.values())
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try:
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candidate = max(pending_runs, key=lambda r: r.priority_key(now))
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except ValueError:
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# pending_runs is an empty sequence
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return None
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def is_runnable(r):
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return (r.due_date or 0) < now
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prepared_runs = filter(lambda r: r.status == RunStatus.prepare_done,
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self.pool.runs.values())
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try:
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top_prepared_run = max(prepared_runs,
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key=lambda r: r.priority_key())
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except ValueError:
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# there are no existing prepared runs - go ahead with <candidate>
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pass
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else:
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# prepare <candidate> (as well) only if it has higher priority than
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# the highest priority prepared run
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if top_prepared_run.priority_key() >= candidate.priority_key():
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return None
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prepared_max = max((r.priority_key() for r in self.pool.runs.values()
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if r.status == RunStatus.prepare_done),
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default=None)
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def takes_precedence(r):
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return prepared_max is None or r.priority_key() > prepared_max
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if candidate.due_date is None or candidate.due_date < now:
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candidate = max(filter(is_runnable, pending_runs),
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key=lambda r: r.priority_key(),
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default=None)
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if candidate is not None and takes_precedence(candidate):
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return candidate
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else:
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return candidate.due_date - now
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return min((r.due_date - now for r in pending_runs
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if (not is_runnable(r) and takes_precedence(r))),
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default=None)
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async def _do(self):
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while True:
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@ -28,7 +28,18 @@ class BackgroundExperiment(EnvExperiment):
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sleep(0.2)
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except TerminationRequested:
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self.set_dataset("termination_ok", True,
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broadcast=True, save=False)
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broadcast=True, archive=False)
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class CheckPauseBackgroundExperiment(EnvExperiment):
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def build(self):
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self.setattr_device("scheduler")
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def run(self):
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while True:
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while not self.scheduler.check_pause():
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sleep(0.2)
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self.scheduler.pause()
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def _get_expid(name):
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@ -117,6 +128,161 @@ class SchedulerCase(unittest.TestCase):
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scheduler.notifier.publish = None
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loop.run_until_complete(scheduler.stop())
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def test_pending_priority(self):
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"""Check due dates take precedence over priorities when waiting to
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prepare."""
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loop = self.loop
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handlers = {}
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scheduler = Scheduler(_RIDCounter(0), handlers, None)
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handlers["scheduler_check_pause"] = scheduler.check_pause
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expid_empty = _get_expid("EmptyExperiment")
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expid_bg = _get_expid("CheckPauseBackgroundExperiment")
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# Suppress the SystemExit backtrace when worker process is killed.
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expid_bg["log_level"] = logging.CRITICAL
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high_priority = 3
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middle_priority = 2
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low_priority = 1
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late = time() + 100000
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early = time() + 1
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expect = [
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{
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"path": [],
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"action": "setitem",
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"value": {
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"repo_msg": None,
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"priority": low_priority,
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"pipeline": "main",
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"due_date": None,
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"status": "pending",
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"expid": expid_bg,
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"flush": False
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},
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"key": 0
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},
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{
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"path": [],
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"action": "setitem",
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"value": {
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"repo_msg": None,
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"priority": high_priority,
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"pipeline": "main",
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"due_date": late,
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"status": "pending",
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"expid": expid_empty,
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"flush": False
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},
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"key": 1
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},
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{
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"path": [],
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"action": "setitem",
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"value": {
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"repo_msg": None,
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"priority": middle_priority,
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"pipeline": "main",
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"due_date": early,
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"status": "pending",
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"expid": expid_empty,
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"flush": False
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},
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"key": 2
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},
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{
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"path": [0],
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"action": "setitem",
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"value": "preparing",
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"key": "status"
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},
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{
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"path": [0],
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"action": "setitem",
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"value": "prepare_done",
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"key": "status"
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},
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{
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"path": [0],
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"action": "setitem",
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"value": "running",
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"key": "status"
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},
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{
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"path": [2],
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"action": "setitem",
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"value": "preparing",
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"key": "status"
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},
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{
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"path": [2],
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"action": "setitem",
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"value": "prepare_done",
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"key": "status"
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},
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{
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"path": [0],
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"action": "setitem",
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"value": "paused",
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"key": "status"
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},
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{
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"path": [2],
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"action": "setitem",
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"value": "running",
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"key": "status"
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},
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{
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"path": [2],
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"action": "setitem",
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"value": "run_done",
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"key": "status"
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},
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{
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"path": [0],
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"action": "setitem",
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"value": "running",
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"key": "status"
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},
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{
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"path": [2],
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"action": "setitem",
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"value": "analyzing",
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"key": "status"
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},
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{
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"path": [2],
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"action": "setitem",
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"value": "deleting",
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"key": "status"
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},
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{
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"path": [],
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"action": "delitem",
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"key": 2
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},
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]
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done = asyncio.Event()
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expect_idx = 0
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def notify(mod):
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nonlocal expect_idx
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self.assertEqual(mod, expect[expect_idx])
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expect_idx += 1
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if expect_idx >= len(expect):
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done.set()
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scheduler.notifier.publish = notify
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scheduler.start()
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scheduler.submit("main", expid_bg, low_priority)
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scheduler.submit("main", expid_empty, high_priority, late)
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scheduler.submit("main", expid_empty, middle_priority, early)
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loop.run_until_complete(done.wait())
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scheduler.notifier.publish = None
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loop.run_until_complete(scheduler.stop())
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def test_pause(self):
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loop = self.loop
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