[NumPy-Tickets] [NumPy] #1869: np.place produce bad data with structured array columns as input

[NumPy Trac]

#1869: np.place produce bad data with structured array columns as input
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 Reporter:  ged         |       Owner:  somebody   
     Type:  defect      |      Status:  new        
 Priority:  high        |   Milestone:  Unscheduled
Component:  numpy.core  |     Version:  1.6.0      
 Keywords:              |  
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Comment(by ged):

 Forgot to say that there are simple workarounds:
 {{{
 np.place(arr, mask, a['x'].copy())
 arr[mask] = a['x']
 }}}
 both work fine. I think it's quite important nonetheless because of its
 silent nature.

 I suspect the same problem will be present for other kinds of inputs with
 non contiguous memory layouts, though I didn't test that.

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Ticket URL: <http://projects.scipy.org/numpy/ticket/1869#comment:1>
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