[NumPy-Tickets] [NumPy] #2161: np.log gives RuntimeWarning for arrays with nan values when array is float32 but not float64

[NumPy Trac]

#2161: np.log gives RuntimeWarning for arrays with nan values when array is
float32 but not float64
------------------------+---------------------------------------------------
 Reporter:  cmorton     |       Owner:  somebody   
     Type:  defect      |      Status:  new        
 Priority:  normal      |   Milestone:  Unscheduled
Component:  numpy.core  |     Version:  1.6.1      
 Keywords:              |  
------------------------+---------------------------------------------------
 I can easily suppress the warning by changing np.seterr, but it seemed
 like there shouldn't be a different result between the two.

 {{{
 >>> import numpy as np
 >>> np.seterr(all='raise')
 >>> np.log(np.array([1, np.e, np.e**2, 0, np.nan]).astype(np.float64))
 array([  0.,   1.,   2., -inf])
 >>>np.log(np.array([1, np.e, np.e**2, 0, np.nan]).astype(np.float32))
 Traceback (most recent call last):
   File "<pyshell#57>", line 1, in <module>
     np.log(np.array([1, np.e, np.e**2, 0]).astype(np.float32))
 FloatingPointError: divide by zero encountered in log
 }}}

 Sorry if this ticket is missing something, it is the first one I have ever
 done.

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/2161>
NumPy <http://projects.scipy.org/numpy>
My example project