Re: Smart Debugger (Python)

[Norm Matloff]

I have something of an obsession with debuggers, so I was glad to see
this posting.  While we're on the subject, I might as well add my own
small contribution, which I call Xpdb.

Xpdb is available at http://heather.cs.ucdavis.edu/~matloff/xpdb.html 
Quoting from the beginning of that page:

   I tend to use GUI debugging tools with Python, but often find that
   PDB is adequate or even superior. It loads instantly, doesn't take up
   much real estate on the screen, and its ability to set up aliases/macros 
   is very valuable. (Note too Rocky Bernstein's new PYDB, at
   http://sourceforge.net/project/showfiles.php?
   group_id=61395&package_id=175827.)

   However, I missed having a window that displays my source code and my
   current position in it, so I added such a window to PDB, using
   curses, somewhat analogously to the CGDB variant of GDB (and the -tui
   option in GDB). The result, Xpdb, is available at
   http://heather.cs.ucdavis.edu/~matloff/Python/Xpdb/Code/.  It is
   nothing fancy at all, mainly just a source window capability added 
   to PDB (though with a couple of extra new features).  

Norm Matloff

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remote multiprocessing, shared object

[Norm Matloff]

Should be a simple question, but I can't seem to make it work from my
understanding of the docs.

I want to use the multiprocessing module with remote clients, accessing
shared lists.  I gather one is supposed to use register(), but I don't
see exactly how.  I'd like to have the clients read and write the shared
list directly, not via some kind of get() and set() functions.  It's
clear how to do this in a shared-memory setting, but how can one do it
across a network, i.e. with serve_forever(), connect() etc.?

Any help, especially with a concrete example, would be much appreciated.
Thanks.

Norm

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Re: remote multiprocessing, shared object

[Norm Matloff]

Thanks very much, Kushal.

But it seems to me that it doesn't quite work.  After your first client
below creates l and calls append() on it, it would seem that one could
not then assign to it, e.g. do

   l[1] = 8

What I'd like is to write remote multiprocessing code just like threads
code (or for that matter, just like shared-memory multiprocessing code),
i.e. reading and writing shared globals.  Is this even possible?

Norm

On 2010-04-08, Kushal Kumaran  wrote:
> On Thu, Apr 8, 2010 at 3:04 AM, Norm Matloff  wrote:
>> Should be a simple question, but I can't seem to make it work from my
>> understanding of the docs.
>>
>> I want to use the multiprocessing module with remote clients, accessing
>> shared lists.  I gather one is supposed to use register(), but I don't
>> see exactly how.  I'd like to have the clients read and write the shared
>> list directly, not via some kind of get() and set() functions.  It's
>> clear how to do this in a shared-memory setting, but how can one do it
>> across a network, i.e. with serve_forever(), connect() etc.?
>>
>> Any help, especially with a concrete example, would be much appreciated.
>> Thanks.
>>
>
> There's an example in the multiprocessing documentation.
> http://docs.python.org/library/multiprocessing.html#using-a-remote-manager
>
> It creates a shared queue, but it's easy to modify for lists.
>
> For example, here's your shared list server:
> from multiprocessing.managers import BaseManager
> shared_list = []
> class ListManager(BaseManager): pass
> ListManager.register('get_list', callable=lambda:shared_list)
> m = ListManager(address=('', 5), authkey='abracadabra')
> s = m.get_server()
> s.serve_forever()
>
> A client that adds an element to your shared list:
> import random
> from multiprocessing.managers import BaseManager
> class ListManager(BaseManager): pass
> ListManager.register('get_list')
> m = ListManager(address=('localhost', 5), authkey='abracadabra')
> m.connect()
> l = m.get_list()
> l.append(random.random())
>
> And a client that prints out the shared list:
> from multiprocessing.managers import BaseManager
> class ListManager(BaseManager): pass
> ListManager.register('get_list')
> m = ListManager(address=('localhost', 5), authkey='abracadabra')
> m.connect()
> l = m.get_list()
> print str(l)
>
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