Errors when minimized

I've noticed that Gilgalad will sometimes throw a lot of ArrayIndexOUtOfBounds exceptions at the start of the first round when I pause robocode, hit restart, minimize, and unpause from the "Gilgalad console" window. However, it never happens if I start the battle from robocode, and then minimize it. Also, I saw some strangely low scores against Raiko mini in local tests (one as low as 15%) which may be related. I'll try to test on different JVM's, OS's and machines in the next few days, but I was wondering if you had any idea why minimizing the robocode window would do this?

Minimizing the window puts the engine in max speed. Might affect skipped turn detection.

Yeah, speed is the only thing I can think of. You aren't doing any threading or anything like that, are you? Because it could be something like race conditions if you are. Where is the ArrayIndexOutOfBounds being thrown from? I suggest you do try/catch around all errors, and write them to disk so you can check them out later.

Also, avoid testing against Raiko (mini) if you can because it saves data. Rather test against RaikoMicro, or do something about that data-saving, like modifying Raiko or deleting the files each time.

Well, I'm not entirely certain and I don't want to spread false information, so we'll just wait until Rednaxela fills us in...

Regarding my problem, it was indeed related to skipped turns. I have a record of the enemy's positions and I use it to check the wave intersection with the enemy robot after I retroactively set the bullet powers. Skipped turns caused me to miss the entries on some turns, resulting in the OutOfBoundsException.

But this led me to think of another question. In PIF guns, how do you deal with the end of a round. Do your logs just jump to the next round or do you keep separate logs for each round or what?

Thanks for the help!

Any PIFs that hit the end of the round I discard. I pull a bigger cluster than I need and just do the first N that work.

Keeping separate logs for each round is more accurate, but with bigger codesize as well.