numpy-discussion

[Numpy-discussion] float64scalar and divmod (and numpy 0.9.8)

[PGM <pgm...@gm...>]

Folks ,
I'm still using numpy 0.9.8 and just ran into this problem on my machine 
(AMD64):

>>> import numpy as N
>>> x = N.array([1.23456])
>>> print divmod(x,1)
(array([ 1.]), array([ 0.23456]))
>>> print divmod(x[0],1)
()
>>> print divmod(x.tolist()[0],1)
(1.0, 0.2345600000000001)

divmod doesn't seem to like '<f8's. Forcing x to '<f4' seems to do the 
trick...
Did anybody run into this problem already ? Is it really numpy related ? If 
this is a bug on 0.9.8, has it been corrected already ?

Thanks a lot
P.

Re: [Numpy-discussion] float64scalar and divmod (and numpy 0.9.8)

[David H. <dav...@gm...>]

2006/7/24, PGM <pgm...@gm...>:
>
> Folks ,
> I'm still using numpy 0.9.8 and just ran into this problem on my machine
> (AMD64):
>
> >>> import numpy as N
> >>> x = N.array([1.23456])
> >>> print divmod(x,1)
> (array([ 1.]), array([ 0.23456]))
> >>> print divmod(x[0],1)
> ()
> >>> print divmod(x.tolist()[0],1)
> (1.0, 0.2345600000000001)
>
> divmod doesn't seem to like '<f8's. Forcing x to '<f4' seems to do the
> trick...
> Did anybody run into this problem already ? Is it really numpy related ?
> If
> this is a bug on 0.9.8, has it been corrected already ?



It works in svn.

David