Hi everyone,
I'm trying to get PySide to run with PyPy using the Python C-API. I'm
able to build and install PySide under PyPy on Windows, without any
errors, but the installed libraries do not work. I'm working on it.
Anyone wants to give it a try on Linux? Maybe the problem is Windows
spec
I have an interpreter inner loop that looks something like this:
jitdriver = JitDriver(greens=['ip', 'tos', 'bytecodes', 'consts'],
reds=['locals', 'stack'])
def interpret(code, args):
assert isinstance(code, Code)
bytecodes = code.bytecodes
consts = code.consts
vars = code.vars
Right, I narrowed it down to condition.wait being much slower with a
timeout than without.
see attached test script.
On 22 February 2014 08:20, Armin Rigo wrote:
> Hi Dima,
>
> On 21 February 2014 15:43, Dima Tisnek wrote:
>> sorry I don't have code handy, it's part of a larger project, but
On Sat, Feb 22, 2014 at 7:45 PM, Ronan Lamy wrote:
> Hello Ian,
>
> Le 20/02/14 20:40, Ian Ozsvald a écrit :
>
>> Hi Armin. The point of the question was not to remove numpy but to
>> understand the behaviour :-) I've already done a set of benchmarks
>> with lists and with numpy, I've copied the r
Hello Ian,
Le 20/02/14 20:40, Ian Ozsvald a écrit :
Hi Armin. The point of the question was not to remove numpy but to
understand the behaviour :-) I've already done a set of benchmarks
with lists and with numpy, I've copied the results below. I'm using
the same Julia code throughout (there's a
Thanks for taking a look.
My immediate goal is to get micronumpy tests passing on ARM.
micronumpy uses raw_storage_getitem, which needs to be fixed. I thought
nonaligned access would be a problem in other parts of pypy, but do not
have the perspective to judge that, so I tried to stick xxx in al
Hi Ian,
On 20 February 2014 21:40, Ian Ozsvald wrote:
> compiler technologies. The simple answer might be 'because pypynumpy
> is young' and that'd be fine - at least I'd have an answer if someone
> asks the question in my talk. If someone has more details, that'd be
> really interesting too. Is
On Thu, Feb 20, 2014 at 9:44 PM, Ian Ozsvald wrote:
> Interesting answer :-) numexpr does a bit of this but your bigger
> point is that pypynumpy should go much further. That indeed will be
> interesting.
> Cheers, i.
The interesting part is that with a JIT you can do a lot more
specialization th
Hi Matti,
On 18 February 2014 14:05, matti picus wrote:
> I would like to ask for help with this branch, as I have not been able to
> move it forward fast enough.
I moved it forward a little bit, but now I'm wondering if it actually
makes sense. What is the goal? Is it to fix a problem in ctyp
