On Tue, Mar 25, 2025 at 9:34 AM Shasang Thummar via NumPy-Discussion <
numpy-discussion@python.org> wrote:
> *Why Should This Be Allowed?*
>
> If *a larger dimension is an exact multiple of a smaller one*, then
> logically, the smaller array can be *repeated* along that axis *without
> physically
Quick little typing nitpick:
`tuple[np.float64]` describes a tuple of length 1.
To describe a tuple of arbitrary length, you'd write `tuple[np.float64, ...]`
---
On a more related note, I'm seeing an asymptotic speedup/slowdown of 14x
Equality: True
Number of points: 10
Normal:2.99 μs ± 8.
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Hi,
It would be useful to have numpy support for noncentral student's
t-distribution. Numpy already supports standard t, and it should be a
straightforward transformation:
- (scipy noncentral t)
https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.nct.html
- (numpy standard t)
ht
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