On Sun, Nov 20, 2011 at 11:40 PM, gelin yan dynami...@gmail.com wrote:
Hi glyph
I attached a file for this purpose. there is a number 4073 inside the
code. when i use any smaller value, the function return a correct result. I
use win 7 twisted 11.1 at the moment. I am not sure whether
gelin yan dynamicgl at gmail.com writes:
Hi glyph
I attached a file for this purpose. there is a number 4073 inside the
code. when i use any smaller value, the function return a correct result. I use
win 7 twisted 11.1 at the moment. I am not sure whether this limit comes from
os
Hi All,
I was just wondering if anyone is running (or has tested) their production
stack of Twisted on PyPy. Since 1.7 has just been released, I'd like to
play around with running our unit tests and running a production test at
some point.
One concern I have is support for pyOpenSSL on PyPy.
I tried once, and then I submitted a ticket, because a Cython extension was
preventing a complete install.
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On 21.11.2011 8:40, gelin yan wrote:
Hi glyph
I attached a file for this purpose. there is a number 4073 inside the
code. when i use any smaller value, the function return a correct result. I
use win 7 twisted 11.1 at the moment. I am not sure whether this limit
comes from os or not.
Thanks for that... the patch you mentioned definitely solve this
problem...it looks like the default buffer size is 4096 bytes on windows.
minor change of the patch for twisted 11.1
_pollingfile._PIPE_BUFFER_SIZE has been changed to
_pollingfile.FULL_BUFFER_SIZE
*
*
thanks again for your guys
If pypy doesn't work well with cython, it implies we can't use iocp for
that.
On Mon, Nov 21, 2011 at 6:57 PM, Laurens Van Houtven _...@lvh.cc wrote:
I tried once, and then I submitted a ticket, because a Cython extension
was preventing a complete install.
Hi
I am happy to see some other teams have used it in a production
environment. If there are no serious bugs, I am gonna use it to implement
my analyzer which need to take benefit from multiple cores. At the moment,
ampoule seems is the most intuitive way to reap the power of multiple cores.
