On Fri, Nov 30, 2012 at 9:07 AM, Martin Raspaud <[email protected]>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) > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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