[Numpy-discussion] array constructor from generators?

Travis Oliphant oliphant.travis at ieee.org
Thu Apr 6 02:21:02 CDT 2006


> Can you steal its memory and then give it some dummy memory that it 
> can free without problems, so that the list can be deallocated without 
> trouble? Does anyone know if you can just give the list a NULL pointer 
> for it's memory and then immediately decref it? free(NULL) should 
> always be safe, I think. (??)
>
I don't think you can steal a list's memory since each list element is a 
actually pointer to some other Python Object.   

However, a Python array's memory could be stolen (as Tim mentions later). 
> This is a good point. Numpy does fine with nested lists, but what 
> should it do with nested generators? I originally thought that 
> basically 'array(generator)' should make the exact same thing as 
> 'array([f for f in generator])'. However, for nested generators, this 
> would be an object array of generators.
>
> I'm not sure which is better -- having more special cases for 
> generators that make generators, or having a simple rubric like above 
> for how generators are treated.
I like the idea that generators of generators acts the same as lists of 
lists (i.e. recursively defined).   Basically to implement this, we need 
to repeat

Array_FromSequence
discover_depth
discover_dimensions
discover_itemsize

Or, just maybe we can figure out a way to enhance those functions so 
that creating an array from generators works the same as creating an 
array from sequences. Right now, the sequence interface is used.  
Perhaps we could figure out a way to use a more abstract interface which 
would include both generators and sequences.  If that causes too much 
alteration then I don't think it's worth it and we just repeat those 
functions for generators.

Now, I think there are two cases here that are being discussed as one

1)  Creating arrays from iterators     ---   array( iter(xrange(10) )
2)  Creating arrays from generators  ---  array(x for x in xrange(10))

Both of these cases really ought to be handled and really should be 
integrated into the Array_FromSequence code.  That code is inherited 
from Numeric and was written before iterators and generators arose on 
the scene.  There ought to be a way to unify all of these notions 
(Actually if you handle iterators, then sequences will come along for 
the ride since sequences can behave as iterators). 

I'd rather see one place in the code that handles these cases.   But, 
working code is usually better than dreamy plans :-)

-Travis










More information about the Numpy-discussion mailing list