[IPython-User] Sharing data between engines and using modules

seshu yamajala syamajala@gmail....
Wed Aug 15 20:09:44 CDT 2012


On Aug 15, 2012, at 8:39 PM, MinRK wrote:

> 
> 
> On Wed, Aug 15, 2012 at 4:29 PM, seshu yamajala <syamajala@gmail.com> wrote:
> Hello,
> 
> I was wondering what the proper way to share data between engines is when your functions are defined in a module which is imported on all the engines. I have a function in my module which computes a dict and pushes that dict to all the engines, but when i try to access that dict from another function in the module it says that the global name is undefined. Looking at the code for push, I saw that it was decorated with @interactive. Is there another way to do this?
> 
> It all depends on what you want to do.  The user_ns is effectively __main__.__dict__, so when you push/pull that is the namespace you are working with.
> 
> The @interactive decorator only makes the serialization code think that a function defined in a module is actually defined in the interactive namespace.  This means that when it is unpacked on the engine, its `globals` will refer to the user namespace rather than the module namespace.
> 
> A more thorough explanation.
> 
> Personally, I don't find global state of modules terribly attractive, so I prefer to use parallel.Reference(name) objects as arguments to a largely functional API, e.g.
> 
> def foo(x):
>     return x * x
> 
> A = numpy.ones(128)
> rc[:]['A'] = A
> 
> rA = parallel.Reference('A')
> ar = view.apply_async(foo, rA)
>  
> -MinRK
> 

Reference works for me. Thanks!

Seshu

> 
> Thanks,
> Seshu Yamajala
> 
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