Re: [Numpy-discussion] 32/64-bit machines, integer arrays and python ints

[Travis O. <oli...@ee...>]

Bill Spotz wrote:

>On Sep 28, 2006, at 12:03 PM, Travis Oliphant wrote:
>
>  
>
>>The other option is to improve your converter in setElements so  
>>that it
>>can understand any of the array scalar integers and not just the  
>>default
>>Python integer.
>>    
>>
>
>I think this may be the best approach.
>
>This may be something worthwhile to put in the numpy.i interface  
>file: a set of typemaps that handle a set of basic conversions for  
>those array scalar types for which it makes sense.  I'll look into it.
>  
>
That's a good idea.    Notice that there are some routines for making 
your life easier here. 

You should look at the tp_int function for the gentype array (it 
converts scalars to arrays).  You call the "__int__" special method of 
the scalar to convert it to a Python integer.  You should first check to 
see that it is an integer scalar PyArray_IsScalar(obj, Integer) because 
the "__int__" method coerces to an integer if it is a float (but maybe 
you want that behavior).

There are other functions in the C-API that return the data directly 
from the scalar --- check them out.  The macros in arrayscalar.h are 
useful.

-Travis