experiment.workon(main, max_trials=10)
# Need to force new max_trials because max_trials in workon overwrote the value in experiment and algo. That should also be fixed.
experiment._experiment.max_trials = 20
experiment._experiment.algorithms.algorithm.max_trials = 20
experiment.workon(main, max_trials=20)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
[/usr/local/lib/python3.7/dist-packages/orion/executor/multiprocess_backend.py](https://localhost:8080/#) in submit(self, function, *args, **kwargs)
202 try:
--> 203 return self._submit_cloudpickle(function, *args, **kwargs)
204 except ValueError as e:
6 frames
[/usr/local/lib/python3.7/dist-packages/orion/executor/multiprocess_backend.py](https://localhost:8080/#) in _submit_cloudpickle(self, function, *args, **kwargs)
216 payload = cloudpickle.dumps((function, args, kwargs))
--> 217 return _Future(self.pool.apply_async(_couldpickle_exec, args=(payload,)), True)
218
[/usr/lib/python3.7/multiprocessing/pool.py](https://localhost:8080/#) in apply_async(self, func, args, kwds, callback, error_callback)
361 if self._state != RUN:
--> 362 raise ValueError("Pool not running")
363 result = ApplyResult(self._cache, callback, error_callback)
ValueError: Pool not running
The above exception was the direct cause of the following exception:
ExecutorClosed Traceback (most recent call last)
[<ipython-input-38-06c445e130ba>](https://localhost:8080/#) in <module>()
2 experiment._experiment.max_trials = 20
3 experiment._experiment.algorithms.algorithm.max_trials = 20
----> 4 experiment.workon(main, max_trials=20)
5 print(experiment.stats)
[/usr/local/lib/python3.7/dist-packages/orion/client/experiment.py](https://localhost:8080/#) in workon(self, fct, n_workers, pool_size, reservation_timeout, max_trials, max_trials_per_worker, max_broken, trial_arg, on_error, idle_timeout, **kwargs)
805 if self._executor is None or self._executor_owner:
806 with self.executor:
--> 807 rval = runner.run()
808 else:
809 rval = runner.run()
[/usr/local/lib/python3.7/dist-packages/orion/client/runner.py](https://localhost:8080/#) in run(self)
245 # Scatter the new trials to our free workers
246 with self.stat.time("scatter"):
--> 247 scattered = self.scatter(new_trials)
248
249 # Gather the results of the workers that have finished
[/usr/local/lib/python3.7/dist-packages/orion/client/runner.py](https://localhost:8080/#) in scatter(self, new_trials)
316
317 future = self.client.executor.submit(
--> 318 _optimize, trial, self.fct, self.trial_arg, **self.kwargs
319 )
320 self.pending_trials[future] = trial
[/usr/local/lib/python3.7/dist-packages/orion/executor/multiprocess_backend.py](https://localhost:8080/#) in submit(self, function, *args, **kwargs)
204 except ValueError as e:
205 if str(e).startswith("Pool not running"):
--> 206 raise ExecutorClosed() from e
207
208 raise
ExecutorClosed:
This
leads to