Message244819
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) |
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| Date |
User |
Action |
Args |
| 2015-06-04 13:23:04 | mark.dickinson | set | recipients:
+ mark.dickinson, rhettinger, Arfrever, steven.daprano, serhiy.storchaka, llllllllll |
| 2015-06-04 13:23:04 | mark.dickinson | set | messageid: <[email protected]> |
| 2015-06-04 13:23:04 | mark.dickinson | link | issue24379 messages |
| 2015-06-04 13:23:04 | mark.dickinson | create | |
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