Hello,
numpy.divide(0.0,0.0) raises a warning which doesn't appear to get caught
by numpy.seterr(divide='ignore')
This example:
import numpy
numpy.divide(0.0,0.0)
numpy.divide(1.0,0.0)
numpy.seterr(divide='ignore')
numpy.divide(1.0,0.0)
numpy.divide(0.0,0.0)
produces this output:
Warning (from warnings module):
File "C:\Users\ldigrego\Desktop\tst.py", line 2
numpy.divide(0.0,0.0)
RuntimeWarning: invalid value encountered in divide
Warning (from warnings module):
File "C:\Users\ldigrego\Desktop\tst.py", line 3
numpy.divide(1.0,0.0)
RuntimeWarning: divide by zero encountered in divide
Warning (from warnings module):
File "C:\Users\ldigrego\Desktop\tst.py", line 6
numpy.divide(0.0,0.0)
RuntimeWarning: invalid value encountered in divide
Strangely, on Ipython the numpy.seterr(divide='ignore') seems to catch the
warning:
import numpy
numpy.divide(0.0,0.0)
Out[1]: nan
C:\eclipse\plugins\org.python.pydev_2.8.1.2013072611\pysrc\pydevconsole.py:1:
RuntimeWarning: invalid value encountered in divide
from __future__ import nested_scopes #Jython 2.1 support
numpy.divide(1.0,0.0)
Out[1]: inf
C:\eclipse\plugins\org.python.pydev_2.8.1.2013072611\pysrc\pydevconsole.py:1:
RuntimeWarning: divide by zero encountered in divide
from __future__ import nested_scopes #Jython 2.1 support
numpy.seterr(divide='ignore')
Out[1]: {'divide': 'warn', 'invalid': 'warn', 'over': 'warn', 'under':
'ignore'}
numpy.divide(1.0,0.0)
Out[1]: inf
numpy.divide(0.0,0.0)
Out[1]: nan
I could not find information on Google: is this a known problem? Is there
a way to suppress this warning?
I'm working on a 64b Win7 machine employing
numpy-MKL-1.7.0.win-amd64-py2.7.exe.
Best Regards,
Lorenzo
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