python-numpy and python3-numpy 1:1.8.2-0ubuntu0.1 produce the expected output for the test case.
Python 2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import numpy as np >>> d = np.array([0, 1, 2, 3, 4, 5, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,7, 7, 7, 7, >>> 7, 9]) >>> kth = [0, 3, 19, 20] >>> np.partition(d, kth)[kth] array([0, 3, 7, 7]) Python 3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import numpy as np >>> d = np.array([0, 1, 2, 3, 4, 5, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,7, 7, 7, 7, >>> 7, 9]) >>> kth = [0, 3, 19, 20] >>> np.partition(d, kth)[kth] array([0, 3, 7, 7]) ** Tags removed: verification-needed ** Tags added: verification-done -- You received this bug notification because you are a member of Ubuntu Bugs, which is subscribed to Ubuntu. https://bugs.launchpad.net/bugs/1358870 Title: update numpy to 1.8.2 in trusty To manage notifications about this bug go to: https://bugs.launchpad.net/ubuntu/+source/python-numpy/+bug/1358870/+subscriptions -- ubuntu-bugs mailing list ubuntu-bugs@lists.ubuntu.com https://lists.ubuntu.com/mailman/listinfo/ubuntu-bugs
