Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]
Groups > comp.lang.python > #2669
| Subject | Re: Multiprocessing, shared memory vs. pickled copies |
|---|---|
| From | Philip Semanchuk <philip@semanchuk.com> |
| Date | 2011-04-05 13:43 -0400 |
| References | <6ace38dc-33c6-44ab-a17a-084d62d666cb@w9g2000prg.googlegroups.com> <mailman.27.1301960081.9059.python-list@python.org> <cad2405b-378c-43e4-b79e-edf81e5701e2@w7g2000pre.googlegroups.com> |
| Newsgroups | comp.lang.python |
| Message-ID | <mailman.56.1302026842.9059.python-list@python.org> (permalink) |
On Apr 5, 2011, at 12:58 PM, John Ladasky wrote: > Hi Philip, > > Thanks for the reply. > > On Apr 4, 4:34 pm, Philip Semanchuk <phi...@semanchuk.com> wrote: >> So if you're going to use multiprocessing, you're going to use pickle, and you >> need pickleable objects. > > OK, that's good to know. But as Dan Stromberg pointed out, there are some pickle-free ways to communicate between processes using multiprocessing. > This leads straight into my second question. I THINK, without knowing > for sure, that most user classes would pickle correctly by simply > iterating through __dict__. So, why isn't this the default behavior > for Python? Was the assumption that programmers would only want to > pickle built-in classes? One can pickle user-defined classes: >>> class Foo(object): ... pass ... >>> import pickle >>> foo_instance = Foo() >>> pickle.dumps(foo_instance) 'ccopy_reg\n_reconstructor\np0\n(c__main__\nFoo\np1\nc__builtin__\nobject\np2\nNtp3\nRp4\n.' And as Robert Kern pointed out, numpy arrays are also pickle-able. >>> import numpy >>> pickle.dumps(numpy.zeros(3)) "cnumpy.core.multiarray\n_reconstruct\np0\n(cnumpy\nndarray\np1\n(I0\ntp2\nS'b'\np3\ntp4\nRp5\n(I1\n(I3\ntp6\ncnumpy\ndtype\np7\n(S'f8'\np8\nI0\nI1\ntp9\nRp10\n(I3\nS'<'\np11\nNNNI-1\nI-1\nI0\ntp12\nbI00\nS'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\np13\ntp14\nb." As a side note, you should always use "new style" classes, particularly since you're exploring the details of Python class construction. "New" is a bit a of misnomer now, as "new" style classes were introduced in Python 2.2. They have been the status quo in Python 2.x for a while now and are the only choice in Python 3.x. Subclassing object gives you a new style class: class Foo(object): Not subclassing object (as you did in your example) gives you an old style class: class Foo: Cheers Philip
Back to comp.lang.python | Previous | Next — Previous in thread | Next in thread | Find similar
Multiprocessing, shared memory vs. pickled copies John Ladasky <ladasky@my-deja.com> - 2011-04-04 13:20 -0700
Re: Multiprocessing, shared memory vs. pickled copies Philip Semanchuk <philip@semanchuk.com> - 2011-04-04 19:34 -0400
Re: Multiprocessing, shared memory vs. pickled copies John Ladasky <ladasky@my-deja.com> - 2011-04-05 09:58 -0700
Re: Multiprocessing, shared memory vs. pickled copies Philip Semanchuk <philip@semanchuk.com> - 2011-04-05 13:43 -0400
Re: Multiprocessing, shared memory vs. pickled copies John Ladasky <ladasky@my-deja.com> - 2011-04-06 23:40 -0700
Re: Multiprocessing, shared memory vs. pickled copies John Ladasky <ladasky@my-deja.com> - 2011-04-07 00:41 -0700
Re: Multiprocessing, shared memory vs. pickled copies Philip Semanchuk <philip@semanchuk.com> - 2011-04-07 09:23 -0400
Re: Multiprocessing, shared memory vs. pickled copies Robert Kern <robert.kern@gmail.com> - 2011-04-07 12:44 -0500
Re: Multiprocessing, shared memory vs. pickled copies John Ladasky <ladasky@my-deja.com> - 2011-04-07 11:39 -0700
Re: Multiprocessing, shared memory vs. pickled copies Robert Kern <robert.kern@gmail.com> - 2011-04-07 15:01 -0500
Re: Multiprocessing, shared memory vs. pickled copies Robert Kern <robert.kern@gmail.com> - 2011-04-04 19:05 -0500
Re: Multiprocessing, shared memory vs. pickled copies sturlamolden <sturlamolden@yahoo.no> - 2011-04-07 16:39 -0700
Re: Multiprocessing, shared memory vs. pickled copies Philip Semanchuk <philip@semanchuk.com> - 2011-04-04 21:16 -0400
Re: Multiprocessing, shared memory vs. pickled copies Robert Kern <robert.kern@gmail.com> - 2011-04-05 10:47 -0500
Re: Multiprocessing, shared memory vs. pickled copies sturlamolden <sturlamolden@yahoo.no> - 2011-04-07 17:03 -0700
Re: Multiprocessing, shared memory vs. pickled copies sturlamolden <sturlamolden@yahoo.no> - 2011-04-07 17:38 -0700
Re: Multiprocessing, shared memory vs. pickled copies sturlamolden <sturlamolden@yahoo.no> - 2011-04-07 18:10 -0700
Re: Multiprocessing, shared memory vs. pickled copies John Ladasky <ladasky@my-deja.com> - 2011-04-09 00:36 -0700
Re: Multiprocessing, shared memory vs. pickled copies sturlamolden <sturlamolden@yahoo.no> - 2011-04-09 10:15 -0700
Re: Multiprocessing, shared memory vs. pickled copies John Ladasky <ladasky@my-deja.com> - 2011-04-09 13:18 -0700
Re: Multiprocessing, shared memory vs. pickled copies sturlamolden <sturlamolden@yahoo.no> - 2011-04-10 08:01 -0700
Re: Multiprocessing, shared memory vs. pickled copies sturlamolden <sturlamolden@yahoo.no> - 2011-04-10 15:35 -0700
csiph-web