[NumPy-Tickets] [NumPy] #1691: PyArray_FromArray: Properly handle F_CONTIGUOUS with 1D-arrays

[NumPy Trac]

#1691: PyArray_FromArray: Properly handle F_CONTIGUOUS with 1D-arrays
--------------------+-------------------------------------------------------
 Reporter:  dagss   |       Owner:  somebody
     Type:  defect  |      Status:  new     
 Priority:  normal  |   Milestone:  1.5.2   
Component:  Other   |     Version:  1.5.0   
 Keywords:          |  
--------------------+-------------------------------------------------------
 When passing F_CONTIGUOUS to PyArray_FromArray, one is NOT guaranteed an
 F_CONTIGUOUS array if ndim==1 (in that case one would have to pass
 C_CONTIGUOUS instead). I find this highly confusing and hope my patch is
 accepted.

 I could not find a way to exercise this from Python, hence no test case
 (the reason is that np.asfortranarray etc. seems to *always* copy, for
 some reason...perhaps that should be fixed too). See a Cython test case
 that gets fixed by this patch inline below.

 Patch:

 https://github.com/dagss/numpy/commit/c5f273898ccd4b4bd45715fdc54f629f6ee0532a

 {{{
 """
     >>> a = np.zeros(10)[::2]
     >>> a = as_f_contiguous_1d(a)
     >>> a.flags.f_contiguous
     True
 """

 cimport numpy as np
 import numpy as np
 np.import_array()
 def as_f_contiguous_1d(arr):
     return np.PyArray_FROMANY(arr, np.NPY_DOUBLE, 1, 1,
 np.NPY_F_CONTIGUOUS)


 }}}

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/1691>
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