Hi, On Mon, Sep 19, 2011 at 2:38 PM, Aditya Sethi <ady.se...@gmail.com> wrote: > I am facing an issue upgrading numpy from 1.5.1 to 1.6.1. > In numPy 1.6, the casting behaviour for ufunc has changed and has become > stricter. > Can someone advise how to implement the below simple example which worked in > 1.5.1 but fails in 1.6.1? >>>> import numpy as np >>>> def add(a,b): > ... return (a+b) >>>> uadd = np.frompyfunc(add,2,1) >>>> uadd > <ufunc 'add (vectorized)'> >>>> uadd.accumulate([1,2,3]) > Traceback (most recent call last): > File "<stdin>", line 1, in <module> > ValueError: could not find a matching type for add (vectorized).accumulate, > requested type has type code 'l'
Seems to work ok on the latest version: In [12]: uadd([1,2,3],[1,2,3]) Out[12]: array([2, 4, 6], dtype=object) In [13]: np.__version__ Out[13]: '2.0.0.dev-af22fc4' Cheers Stéfan _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
