[Numpy-tickets] [NumPy] #263: Inconsistency in type shapes 1 and (1,)

[NumPy]

#263: Inconsistency in type shapes 1 and (1,)
------------------------+---------------------------------------------------
 Reporter:  faltet      |       Owner:  somebody   
     Type:  defect      |      Status:  new        
 Priority:  normal      |   Milestone:  1.0 Release
Component:  numpy.core  |     Version:             
 Severity:  normal      |    Keywords:             
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 I found what I think is an inconsistent behaviour in the shape
 definition for datatypes in numpy. Look at this:

 {{{
 >>> dt1=numpy.dtype(numpy.int32)
 >>> dt2=numpy.dtype((numpy.int32,(1,)))
 >>> dt1.shape
 (1,)
 >>> dt2.shape
 (1,)
 }}}

 I think that dt1 should have a different shape than dt2. In
 particular, dt1 should have a shape == 1 instead of (1,).

 The difference can be significant in cases like:

 {{{
 >>> numpy.arange(1,dtype=dt1)
 array([0])
 >>> numpy.arange(1,dtype=dt2)
 array([[0]])
 }}}

 and, perhaps more importantly:

 {{{
 >>> type(numpy.arange(1,dtype=dt1)[0])
 <type 'int32scalar'>
 >>> type(numpy.arange(1,dtype=dt2)[0])
 <type 'numpy.ndarray'>
 }}}

 in one case you get an int32scalar and in the other case an ndarray
 object, although looking at the dtype object you cannot notice the
 difference and you should, IMO.

 Using 1.0b2 version, but 0.9.8 has the same behavior.

-- 
Ticket URL: <http://projects.scipy.org/scipy/numpy/ticket/263>
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