On Mar 26, 2007, at 3:46PM , Jacob Joseph wrote:
> Gregory, thanks for the quick assistance.
>
> If I manage to press ctrl-c while still in rpy.py:__call__(), I can
> get
> back to the python shell,
It looks like r's signal handler is doing its thing corrrectly,
> and get a segfault at exit from this shell.
but something isn't quite right.
> At other times, it will segfault immediately. Pressing ctrl-c a
> second
> time in rapid succession seems with my small samples to produce the
> issue more frequently.
Hmm.
>
> I realize this doesn't resolve your question with more than a
> "sometimes". Is there a case that might test this more definitively?
>
> -Jacob
>
> On 03/26/2007 03:21 PM, Gregory Warnes wrote:
>> Hi Jacob,
>>
>> It looks like the event handler code isn't properly setting or
>> resetting the control-c handler. Can you try seeing whether Control
>> C is handled correctly while R itself is processing. IE, exectute:
>>
>> from rpy import r
>> r("for(i in 1:1e6) 1+1")
>>
>> then press Control-C.
>>
>> -G
>>
>> On Mar 26, 2007, at 2:48PM , Jacob Joseph wrote:
>>
>>> Linux.
>>>
>>> Sorry, I didn't even think to include it.
>>>
>>> -Jacob
>>>
>>> On 03/26/2007 02:47 PM, Gregory. R. Warnes wrote:
>>>> What O/S?
>>>>
>>>>
>>>>
>>>> On Mar 26, 2007, at 11:36AM , Jacob Joseph wrote:
>>>>
>>>>> Hi folks,
>>>>> I'm looking for suggestions to correct a crash caused by R.
>>>>> Often,
>>>>> upon
>>>>> pressing ctrl-C after importing rpy, R segfaults. I need not
>>>>> have yet
>>>>> accessed rpy for this to occur. Here's a sample:
>>>>>
>>>>> *** caught segfault ***
>>>>> address (nil), cause 'unknown'
>>>>>
>>>>> Possible actions:
>>>>> 1: abort (with core dump)
>>>>> 2: normal R exit
>>>>> 3: exit R without saving workspace
>>>>> 4: exit R saving workspace
>>>>> Selection:
>>>>> *** caught segfault ***
>>>>> address 0x48, cause 'memory not mapped'
>>>>>
>>>>> Possible actions:
>>>>> 1: abort (with core dump)
>>>>> 2: normal R exit
>>>>> 3: exit R without saving workspace
>>>>> 4: exit R saving workspace
>>>>> Selection:
>>>>>
>>>>> I'm running:
>>>>> *rpy-1.0-RC2 patched with
>>>>> https://sourceforge.net/tracker/?
>>>>> func=detail&atid=453021&aid=1665794&group_id=48422
>>>>>
>>>>> *python 2.5
>>>>> *ipython
>>>>> *R 2.4.1
>>>>> (all on x86_64)
>>>>>
>>>>> Thanks.
>>>>> -Jacob
>>>>>
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