RE: [Numpy-discussion] rank-0 arrays

[Paul F D. <pa...@pf...>]

This is a perfect example of why the thing is so annoying. 
> -----Original Message-----
> From: num...@li... 
> [mailto:num...@li...] On 
> Behalf Of eric jones
> Sent: Friday, September 13, 2002 1:44 PM
> To: 'Tim Hochberg'; num...@li...
> Subject: RE: [Numpy-discussion] rank-0 arrays
> 
> 
> Hey Tim,
> 
> Here is a short summary:
> 
> Reductions and indexing return different types based on the 
> number of dimensions of the input array:
> 
> >>> b = sum(a)
> >>> l = len(b) # or whatever
> 
> This code works happily if "a" is 2 or more dimensions, but 
> will fail if it is 1d because the sum(a) will return a scalar 
> in this case.  To write generic code, you have to put an 
> if/else statement in to check whether b is a scalar or an array:
> 
> >>> b = sum(a)
> >>> if type(b) is ArrayType:
> ...     l = len(b)
> ... else:
> ...     l = 1 # or whatever you need
> 
> or less verbose but still unpleasant:  
> 
> >>> b = asarray(sum(a))
> >>> l = len(b)
> 
> eric
> 
> > -----Original Message-----
> > From: num...@li... [mailto:numpy- 
> > dis...@li...] On Behalf Of Tim Hochberg
> > Sent: Friday, September 13, 2002 3:18 PM
> > To: num...@li...
> > Subject: Re: [Numpy-discussion] rank-0 arrays
> > 
> > 
> > 
> > 
> > [Perry wrote about Travis's proposal]
> > 
> > > refresh my memory about how this proposal would work. I've heard 
> > > proposals to add new types to Python itself, but that 
> seems out of 
> > > the question. Are you talking about adding new scalar types as 
> > > module? E.g.
> > [snip]
> > > In any case, doesn't this still have the problem that Eric
> complained
> > > about, having to test for whether a result is an array or 
> a scalar 
> > > (which was one of the drivers to produce rank-0 results).
> > 
> > Hi Perry,
> > 
> > I like Travis's proposal the best of those I've seen so far, but I
> don't
> > recall the details of Eric's problem. Could you refresh us 
> as to the 
> > basics of it?.
> > 
> > -tim
> > 
> > 
> > 
> > 
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> 
> 
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