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innumpy/numtype (press backspace or delete to remove)Specifically, the following functions signatures should be improved:
- [ ] apply_along_axis
- [ ] apply_over_axes (func param is too broad)
- [ ] expand_dims
- [ ] column_stack
- [ ] dstack ...
stubs: Enhancement
jorenham
- 1
- Opened yesterday
- #521
It d be very likely to miss a failure if done by hand.
_numtype
topic: automation
topic: NEP 50
topic: testing
- 1
- Opened 4 days ago
- #504
- Github diff viewer supports up to 125
- 120 is a lot more common as a style standard than 130
- you can fit 3 windows of 120 side-by-side on a 4k vscode window, and only 2 with 130
Note that this ...
topic: code style
- Opened 4 days ago
- #499
i.e. for +=, -=, *=, @=, etc...
numpy.ndarray
topic: automation
topic: testing
- Opened 7 days ago
- #494
This was suggested in the NumPy community meeting at 2025-04-09 17:00 UTC by @seiko2plus whilst discussing
https://github.com/numpy/numpy/pull/28668.
This applies to the informal conventions that aren ...
topic: code style
topic: documentation
- 2
- Opened 7 days ago
- #493
These should preserve their shape-type
- [x] __abs__
- [x] __invert__
- [x] __neg__
- [x] __pos__
numpy.ndarray
topic: automation
topic: testing
- Opened 7 days ago
- #492
- [x] #487
- [x] fix failing arithmetic ndarray binop tests
- #495
- #505
- #509
- [x] fix failing modular ndarray binop tests
- #510
- #511 ...
is: Tracker
numpy.ndarray
- Opened 7 days ago
- #491
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