[Numpy-tickets] [NumPy] #302: Fancy indexing and python 2.5 issue

[NumPy]

#302: Fancy indexing and python 2.5 issue
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 Reporter:  faltet  |       Owner:  somebody
     Type:  defect  |      Status:  new     
 Priority:  normal  |   Milestone:          
Component:  Other   |     Version:          
 Severity:  normal  |    Keywords:          
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 Hi,

 I think I've detected a bug with fancy indexing and python 2.5. The next
 exposes the problem:

 With python 2.4:

 {{{
 >>> numpy.array([1,2])[numpy.array([0])]
 array([1])
 >>> numpy.array([1,2])[numpy.array([0])]
 array([1])
 >>> type(numpy.array([1,2])[numpy.array([0])])
 <type 'numpy.ndarray'>
 >>> numpy.array([1,2])[numpy.int32(0)]
 1
 >>> type(numpy.array([1,2])[numpy.int32(0)])
 <type 'numpy.int32'>

 }}}

 But, with python 2.5:

 {{{
 >>> numpy.array([1,2])[numpy.array([0])]
 1
 >>> type(numpy.array([1,2])[numpy.array([0])])
 <type 'numpy.int32'>
 >>> numpy.array([1,2])[numpy.int32(0)]
 1
 >>> type(numpy.array([1,2])[numpy.int32(0)])
 <type 'numpy.int32'>

 }}}

 IMO, indexing with and array should always give an array as output, not a
 scalar, so I'd say that output for python2.5 is wrong. I'm using numpy
 1.0.dev3239.

-- 
Ticket URL: <http://projects.scipy.org/scipy/numpy/ticket/302>
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