Mark Dickinson added the comment: For prior art, it's worth taking a look at NumPy, and in particular its `s_` and `index_exp` functions:
>>> import numpy as np >>> np.s_[1:2] slice(1, 2, None) >>> np.s_[0] 0 >>> np.s_[1:2, 3] (slice(1, 2, None), 3) ---------- nosy: +mark.dickinson _______________________________________ Python tracker <rep...@bugs.python.org> <http://bugs.python.org/issue24379> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
