python - Was there a change in NumPy's asserts dealing with NaN -


i having troubles running code wrote year ago on older system (python 2.7 , belive numpy 1.6.1). built in lot of "assert_array_almost_equal" check running of program. far checked code comparing like

>>> np.testing.assert_array_almost_equal([1.0,1.0,np.nan],                                      np.ones(3))

which wasn't aware of. clealy raises assertion error. however, since code worked fine on previous system, wondered whether changed in "assert_array_almost_equal" , ignored nans before.

i don't believe there have been changes lead behavior describing. documentation numpy 1.6.0 , 1.7.0 show same behavior:

>>> np.testing.assert_array_almost_equal([1.0,2.33333,np.nan], ...                                      [1.0,2.33333, 5], decimal=5) <type 'exceptions.valueerror'>: valueerror: arrays not equal  x: array([ 1.     ,  2.33333,      nan])  y: array([ 1.     ,  2.33333,  5.     ])

numpy 1.7.0 assert_array_almost_equal documentation
numpy 1.6.0 assert_array_almost_equal documentation


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