[Numpy-discussion] allclose changed behaviour in 1.6.2 ?

Ralf Gommers ralf.gommers@gmail....
Sun Dec 2 09:16:42 CST 2012


On Fri, Nov 30, 2012 at 9:07 AM, Martin Raspaud <martin.raspaud@smhi.se>wrote:

> Hi,
>
> We noticed that comparing arrays of different shapes with allclose
> doesn't work anymore in numpy 1.6.2.
>
> Is this a feature or a bug ? :)
>

I vote for feature. Allclose does element-wise comparison, so using
different size non-broadcastable inputs is an error in user code. It should
have raised ValueError in 1.6.1 also.

Ralf



>
> See the output in both 1.6.1 and 1.6.2 at the end of this mail.
>
> Best regards,
> Martin
>
> 1.6.1::
>
>  In [1]: import numpy as np
>
>  In [2]: np.__version__
>  Out[2]: '1.6.1'
>
>  In [3]: a = np.array([1, 2, 3])
>
>  In [4]: b = np.array([1, 2, 3, 4])
>
>  In [5]: np.allclose(a, b)
>  Out[5]: False
>
>
> 1.6.2::
>
>  In[1]: import numpy as np
>
>  In[2]: np.__version__
>  Out[2]: '1.6.2'
>
>  In [3]: a = np.array([1, 2, 3])
>
>  In[4]: b = np.array([1, 2, 3, 4])
>
>  In[5]: np.allclose(a, b)
>  Traceback (most recent call last):
>    File "<stdin>", line 1, in <module>
>    File
>
> "/home/maarten/pytroll/local/lib/python2.7/site-packages/numpy-1.6.2-py2.7-linux-x86_64.egg/numpy/core/numeric.py",
> line 1936, in allclose
>      return all(less_equal(abs(x-y), atol + rtol * abs(y)))
>  ValueError: operands could not be broadcast together with shapes (3) (4)
>
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