Work between multiple processes

2017-01-06 Thread zxpatric
Hi everyone,

I ran into a case that I need to create a work process of an application 
(Jython so has to call using java.exe) which will collect the data based on 
what main process indicates.

(1) I tried multiprocessing package, no luck. Java.exe can't be called from 
Process class?

(2) I tried subprocess. subprocess.communicate function will wait for the work 
process to terminate so to return.


either (1) or (2) doesn't work out well. Please suggest.  Global system queue?

Thanks,
Patrick.

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Work between multiple processes

2017-01-04 Thread zxpatric
Hi everyone,

I ran into a case that I need to create a work process of an application 
(Jython so has to call using java.exe) which will collect the data based on 
what main process indicates. 

(1) I tried multiprocessing package, no luck. Java.exe can't be called from 
Process class?

(2) I tried subprocess. subprocess.communicate function will wait for the work 
process to terminate so to return.

 
either (1) or (2) doesn't work out well. Please suggest.  Global system queue?

Thanks,
Patrick.
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Re: Re: Calling C++ Modules in Python

2011-03-22 Thread zxpatric
Dan,

Recently I am trying out both the SWIG and BOOST, maybe Cython later.
However, I didn't get lucky with the combination of the latest SWIGwin 2.0.2
and Python3.2. No matter I build _example.pyd, example.pyd or _example.dll,
or example.dll, it just doesn't get imported as said in the instruction. Is
the combination similar to what you are using right now?

Cheers
-Patrick

On Fri, Mar 11, 2011 at 5:37 PM, Dan Stromberg drsali...@gmail.com wrote:


 I've not tried Boost, but I don't think SWIG or Cython require modified
 libraries.  You just compile your wrapper, and then import it.

 On Fri, Mar 11, 2011 at 2:16 PM, zxpat...@gmail.com wrote:

 Dan,

 Thanks for the info. Really I was hoping for a non-intrusive way to
 expose existing C++ libraries to python. However, both solutions (BOOST,
 SWIG) listed here require the recompilation of libraries?! Seems Cython is
 doing the similar way? It is ok for small applications but will be hard for
 big software from big companies. The reason is that even companies are
 willing to rebuild their own libraries with those wrappers or decorations
 added(though needs approves from all sorts of departments :)), they can't
 force their 3rd-party developers/users.
 Correct me if I am wrong.

 Rg,
 -Patrick

 On Mar 11, 2011 4:59pm, Dan Stromberg drsali...@gmail.com wrote:
 
  On Fri, Mar 11, 2011 at 1:15 PM, Patrick zxpat...@gmail.com wrote:
 
 
  Hi,
 
 
 
 
 
  I saw in the Beginner document that •Is easily extended by adding new
 
 
  modules implemented in a compiled language such as C or C++. .
 
 
 
 
 
  While to my investigation, it seems not that easy or did I miss
 
 
  something?
 
 
 
 
 
  boost python (C++ libraries need to be re-compiled with written
 
 
  wrappers again?).
 
 
  SWIG  (It works by taking the declarations found in C/C++ header and
 
 
  using them to generate the wrapper code that scripting languages need
 
 
  to access the underlying C/C++ code).
 
  I guess it should be asked: easy for who?  easy is always relative
 to some context.
 
  If you're planning to stay with CPython and C++ forevermore, then Cython
 is a nice way of gluing the two.   Cython looks like Python code, but it
 gives you access to C and C++ code and data as well as CPython code and
 data.
 
 
 
  If you're planning to support your C++ code with more languages than
 CPython, you might be better off with SWIG.
 
  If you really do want to do the task the old way, you're probably best
 off copying some preexisting module with a maximize-the-developers-rights
 license (like Apache, MIT or 3 clause BSD), and modifying that.
 
 
 
  If you want to be able to move easily to pypy, I might suggest coming up
 with a C wrapper for your C++ code, and then accessing the C code using
 ctypes.  That should work in CPython and pypy, and it looks like jython
 might support this soon as well.
 
 
 
 
 
 
 
 
 

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Re: Re: Calling C++ Modules in Python

2011-03-11 Thread zxpatric

Dan,

Thanks for the info. Really I was hoping for a non-intrusive way to  
expose existing C++ libraries to python. However, both solutions (BOOST,  
SWIG) listed here require the recompilation of libraries?! Seems Cython is  
doing the similar way? It is ok for small applications but will be hard for  
big software from big companies. The reason is that even companies are  
willing to rebuild their own libraries with those wrappers or decorations  
added(though needs approves from all sorts of departments :)), they can't  
force their 3rd-party developers/users.

Correct me if I am wrong.

Rg,
-Patrick

On Mar 11, 2011 4:59pm, Dan Stromberg drsali...@gmail.com wrote:


On Fri, Mar 11, 2011 at 1:15 PM, Patrick zxpat...@gmail.com wrote:




Hi,







I saw in the Beginner document that •Is easily extended by adding new




modules implemented in a compiled language such as C or C++. .







While to my investigation, it seems not that easy or did I miss




something?







boost python (C++ libraries need to be re-compiled with written




wrappers again?).




SWIG (It works by taking the declarations found in C/C++ header and




using them to generate the wrapper code that scripting languages need




to access the underlying C/C++ code).


I guess it should be asked: easy for who? easy is always relative to  
some context.


If you're planning to stay with CPython and C++ forevermore, then Cython  
is a nice way of gluing the two. Cython looks like Python code, but it  
gives you access to C and C++ code and data as well as CPython code and  
data.




If you're planning to support your C++ code with more languages than  
CPython, you might be better off with SWIG.


If you really do want to do the task the old way, you're probably best  
off copying some preexisting module with a maximize-the-developers-rights  
license (like Apache, MIT or 3 clause BSD), and modifying that.




If you want to be able to move easily to pypy, I might suggest coming up  
with a C wrapper for your C++ code, and then accessing the C code using  
ctypes. That should work in CPython and pypy, and it looks like jython  
might support this soon as well.










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