Hi,
On Wed, Jan 18, 2012 at 05:07, Rich Drewes wrote:
>> That means you're running a 32bit program in a 64bit environment
>
> Yup, that was it. For some reason the package from the launchpad ppa that
> was pulled in was 32 bit.
Sorry for the delay in answering. It's indeed a known issue that t
On 01/17/2012 02:50 PM, Maciej Fijalkowski wrote:
That means you're running a 32bit program in a 64bit environment
Yup, that was it. For some reason the package from the launchpad ppa
that was pulled in was 32 bit.
Rich
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On Wed, Jan 18, 2012 at 12:30 AM, Rich Drewes wrote:
> On 01/16/2012 09:59 PM, Timo Paulssen wrote:
>>
>> Hello,
>>
>> PyPy has a hard limit on its heap size. It can be specified with this
>> environment variable:
>>
>> PYPY_GC_MAX The max heap size. If coming near this limit, it
>>
On 01/16/2012 09:59 PM, Timo Paulssen wrote:
Hello,
PyPy has a hard limit on its heap size. It can be specified with this
environment variable:
PYPY_GC_MAXThe max heap size. If coming near this limit, it
will first collect more often, then raise an
On Mon, Jan 16, 2012 at 8:44 PM, Rich Drewes wrote:
> Hello all,
>
> Great work on pypy! I've had good luck with pypy generally but on a program
> that loads a very large data set I am getting a GC related exception:
>
>
> loading reads, on record 2500
> RPython traceback:
> File "trans
On 01/16/2012 03:26 PM Rich Drewes wrote:
[...]
When I run my program with cpython, it consumes all available physical
memory and then the swap space (as shown in 'top') grows up to about
17GB. The program runs to completion. When I run my program with pypy
on default settings with JIT enabled,
Hello,
PyPy has a hard limit on its heap size. It can be specified with this
environment variable:
PYPY_GC_MAXThe max heap size. If coming near this limit, it
will first collect more often, then raise an
RPython MemoryError, and if
On 01/16/2012 02:02 PM, Romain Guillebert wrote:
Hi
PyPy may use more memory than cpython because of the JIT, can you try
without the JIT (by passing --jit off to the interpreter) ?
When I run with --jit off it gives a MemoryError at about the same point
in the run, but with no exception trac
Hi
PyPy may use more memory than cpython because of the JIT, can you try
without the JIT (by passing --jit off to the interpreter) ?
Cheers
Romain
On Mon, Jan 16, 2012 at 7:44 PM, Rich Drewes wrote:
> Hello all,
>
> Great work on pypy! I've had good luck with pypy generally but on a program
>
Hello all,
Great work on pypy! I've had good luck with pypy generally but on a
program that loads a very large data set I am getting a GC related
exception:
loading reads, on record 2500
RPython traceback:
File "translator_goal_targetpypystandalone.c", line 888, in entry_point
F
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