[Numpy-discussion] Inconsistency with __index__() for rank-1 arrays?

[Francesc Alted]

A Friday 29 October 2010 12:59:04 Pauli Virtanen escrigué:
> pe, 2010-10-29 kello 12:48 +0200, Francesc Alted kirjoitti:
> > A Friday 29 October 2010 12:18:20 Pauli Virtanen escrigué:
> > > Fri, 29 Oct 2010 09:54:23 +0200, Francesc Alted wrote:
> > > [clip]
> > > 
> > > > My vote is +1 for deprecating ``array([scalar])`` as a scalar
> > > > index for NumPy 2.0.
> > > 
> > > I'd be -0 on this, since 1-element Numpy arrays function like
> > > scalars in several other contexts, e.g. in casting to Python
> > > types and in boolean context.
> > > 
> > > Note also that at least Python's struct module (mis-?)uses
> > > __index__() for casting inputs to integers.
> > 
> > Uh, could you put some examples of this please?
> 
> Sure:
> 
> 	if array([[1]]):
> 	    print "OK"
> 
> 	x = float(array([[1]]))
> 
> and for the second point, in Python/Modules/_struct.c:
> 
>      95 static PyObject *
>      96 get_pylong(PyObject *v)
>      97 {
>      98     assert(v != NULL);
>      99     if (!PyLong_Check(v)) {
>     100         /* Not an integer;  try to use __index__ to convert.
> */ 101         if (PyIndex_Check(v)) {
> 
>         >>> import numpy as np, struct
>         >>> struct.pack("i", np.array([1]))
> 
>         '\x01\x00\x00\x00'

I see.  What I do not see if this behaviour is desirable (in fact, I 
think it is not, but I may be wrong of course).

-- 
Francesc Alted