Is there any way to hide non-critical logs to stdout? about dehb HOT 8 OPEN

Nice to hear, that this could solve your issue. In the upcoming release the logging structure will anyways be adjusted since currently for every instantiation of DEHB the logs will be written to some specific file. In the upcoming release it will just be written to dehb.log and thus will be overwritten by new instatiations of DEHB (assuming that you do not adjust the output path).

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Hey, I'm assuming you are using DEHB.run. If so, have you tried using the verbosity flag, i.e. DEHB.run(..., verbose=False). Then you should only be left with outputs regarding state saving/logging.

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Anyways, thanks for you issue! Since the state saving logs could also fill stdout with a lot of logs, we should maybe think about adding a verbosity level for the whole DEHB class and not just the run function.

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Hey, I'm assuming you are using DEHB.run. If so, have you tried using the verbosity flag, i.e. DEHB.run(..., verbose=False). Then you should only be left with outputs regarding state saving/logging.

Yes that's correct, verbose is set to False, but I'm getting lots of these messages to stdout.

2024-05-29 12:04:56.361 | INFO     | dehb.optimizers.dehb:reset:119 - 

RESET at 05/29/24 12:04:56 PDT


2024-05-29 12:04:56.417 | INFO     | dehb.optimizers.dehb:reset:119 - 

RESET at 05/29/24 12:04:56 PDT


2024-05-29 12:04:56.468 | INFO     | dehb.optimizers.dehb:reset:119 - 

RESET at 05/29/24 12:04:56 PDT


2024-05-29 12:04:56.519 | INFO     | dehb.optimizers.dehb:reset:119 - 

RESET at 05/29/24 12:04:56 PDT

Somewhat related is that this package appears to be accumulating lots of logs that does not get cleaned up after a run is complete. For me, dehb has accumulated almost to 20GB of log data since I've installed 4 weeks ago.

^ After clearing it 2 weeks ago.

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lots of these messages to stdout.

They appear to be coming from dehb.py:119, removing that line solved the issue for me

    def reset(self):
        self.inc_score = np.inf
        self.inc_config = None
        self.population = None
        self.fitness = None
        self.traj = []
        self.runtime = []
        self.history = []
        self.logger.info("\n\nRESET at {}\n\n".format(time.strftime("%x %X %Z")))

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Good to know, thanks for looking into the issue and looking forward to the fix.

In the upcoming release it will just be written to dehb.log and thus will be overwritten by new instatiations of DEHB

Will this affect the ability to run multiple DEHB instances running simultaneously? In my use case, the host program optimizes many different models in parallel.

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Will this affect the ability to run multiple DEHB instances running simultaneously?

This should not, assuming each DEHB instance is an independent optimization run since then the output_path should vary.
@Bronzila could you please correct me or add anything if required.

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Sorry, I must have overlooked your comment @u3Izx9ql7vW4
As @Neeratyoy pointed out, as long as each DEHB instance has a unique output_path no results will be overwritten.

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