Hello,
Your message seems to have been garbled by the translator…

Could you please ask that again in a more understandable manner?

If you are asking why PacketFence is moving away from PHP, the answer is that 
supporting more that one language requires more than twice as much time and 
effort.
Focusing on a single language is more efficient and should mean less bugs.

Regards,
--
Louis Munro
lmu...@inverse.ca  ::  www.inverse.ca 
+1.514.447.4918 *125  :: +1 (866) 353-6153 
Inverse inc. :: Leaders behind SOGo (www.sogo.nu) and PacketFence 
(www.packetfence.org)

On 2014-06-11, at 4:58 , yunfence <yunfe...@gmail.com> wrote:

> hello!Packetfence team
>        I am your a loyal fan of the open source from China, when I
> was in the use of packetfence found that the open source product is
> really strong, and generating an idea, whether it translated into
> Chinese localization, China has a lot of people who are smart, I
> believe it will be more involved in translation into Chinese of the
> open source development, not only enrich packetfence, let more people
> know and use it.
>         I saw the first version using PHP development, version with
> perl development, the arrival of the advantage of using perl
> development have those, but now China has many learning PHP
> enthusiasts, all the quadratic function development is very
> adverse.You at the time of development will increase the choice of
> language function, if can show a labyrinth for me:)
> 
> ------------------------------------------------------------------------------
> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
> Find What Matters Most in Your Big Data with HPCC Systems
> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
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> _______________________________________________
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> PacketFence-devel@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/packetfence-devel

------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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