Solve. Neither image nor VM nor Fuel luckily :)

Cheers,

Max

On 08.03.2014, at 23:15, Max Leske <maxleske@gmail.com> wrote:

On 08.03.2014, at 23:12, btc@openInWorld.com wrote:

Max Leske wrote:

On 08.03.2014, at 15:03, Guillermo Polito <guillermopolito@gmail.com> wrote:

Hmm, as far as I know there is no "shared memory space"... or bah.. what do you mean by that?

From my understanding I'd say that when you do:

"- I fix the bug (i.e., commenting the self error)"

you introduce some side effect that causes an infinite recursion => lots of contexts are reified because the vm stack gets full => you run out of memory

No, it seems that the error lies with Fuel, although I can’t yet say why. I’m still investigating.

Max

Max, You've been able to reproduce the problem?

Not really. I’m working on it with Roberto and post back once we’ve figured out more. I’m pretty sure though that VM and image are fine (apart from limiting the heap size to 500MB *grml*).

BTW, are you on windows, linux, mac? which vm/image?

Guille

On Sat, Mar 8, 2014 at 2:55 PM, roberto.minelli@usi.ch <roberto.minelli@usi.ch> wrote:

Anyone on this? It is very frustrating for me.

Cheers,
Roby

On Mar 7, 2014, at 1:05 PM, roberto.minelli@usi.ch wrote:

>
> On Mar 7, 2014, at 12:24 PM, Max Leske <maxleske@gmail.com> wrote:
>
>>
>> On 07.03.2014, at 11:55, roberto.minelli@usi.ch wrote:
>>
>>> Hi guys,
>>>
>>> I am experiencing a very strange problem that makes me think there is some shared memory problem with Pharo.
>>>
>>> Here are the steps that lead to the problem:
>>> - I have an image, I do something (i.e., materializing objects with Fuel)
>>> - I encounter a problem and a debugger pops up with a “self error: something"
>>> - I close the debugger
>>> - I close the image
>>
>> Do you save the image? If so, are you saving references to the already materialized objects?
>
> Of course, I did not save the image. Otherwise I’d have understood the behavior.
>
>>
>>> - I reopen the image
>>> - I fix the bug (i.e., commenting the self error)
>>> - I re-run the same thing as in the first step
>>> - An OutOfMemory error appears.
>>>
>>> Any clue?
>>>
>>> Thanks,
>>> Roberto