[Numpy-discussion] np.array execution path

[Sebastian Berg]

In case you are interested, the second (real odditiy), is caused by
ISFORTRAN and IS_F_CONTIGUOUS mixup, I have found three occurances where
I think ISFORTRAN should be replaced by the latter. Check also:

https://github.com/seberg/numpy/commit/4d2713ce8f2107d225fe291f5da6c6a75436647e


Sebastian

On Sat, 2012-09-22 at 13:12 -0500, Travis Oliphant wrote:
> Check to see if this expression is true
> 
> no is o
> 
> In the first case no and o are the same object
> 
> 
> Travis 
> 
> --
> Travis Oliphant
> (on a mobile)
> 512-826-7480
> 
> 
> On Sep 22, 2012, at 1:01 PM, Sebastian Berg <sebastian at sipsolutions.net> wrote:
> 
> > Hi,
> > 
> > I have a bit of trouble figuring this out. I would have expected
> > np.asarray(array) to go through ctors, PyArray_NewFromArray, but it
> > seems to me it does not, so which execution path is exactly taken here?
> > The reason I am asking is that I want to figure out this behavior/bug,
> > and I really am not sure which function is responsible:
> > 
> > In [69]: o = np.ones(3)
> > 
> > In [70]: no = np.asarray(o, order='C')
> > 
> > In [71]: no[:] = 10
> > 
> > In [72]: o # OK, o was changed in place:
> > Out[72]: array([ 10.,  10.,  10.])
> > 
> > In [73]: no.flags # But no claims to own its data!
> > Out[73]: 
> >  C_CONTIGUOUS : True
> >  F_CONTIGUOUS : True
> >  OWNDATA : True
> >  WRITEABLE : True
> >  ALIGNED : True
> >  UPDATEIFCOPY : False
> > 
> > In [74]: no = np.asarray(o, order='F')
> > 
> > In [75]: no[:] = 11
> > 
> > In [76]: o # Here asarray actually returned a real copy!
> > Out[76]: array([ 10.,  10.,  10.])
> > 
> > 
> > Thanks,
> > 
> > Sebastian
> > 
> > 
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