Do special functions need to have all kwargs/attributes/methods of ufuncs?

Hi Team,

gh-19023 <https://github.com/scipy/scipy/pull/19023> added alternative
backend support to some SciPy special functions; e.g., when
`scipy.special.ndtr` receives a CuPy array, it calls
`cupyx.scipy.special.ndtr` to perform the calculation and returns the
resulting CuPy array.

Currently, this functionality is opt-in only (via the SCIPY_ARRAY_API
environment variable) because of a backward incompatibility issue:
Technically, many `scipy.special` functions are universal functions, and
without special care, these functions will lose some of these features
(e.g. `reduce`) when we wrap them. SciPy doesn't actually document any of
these features (e.g. compare `ndtr` documentation
<https://docs.scipy.org/doc/scipy/reference/generated/scipy.special.ndtr.html>
vs ufunc documentation <https://numpy.org/doc/stable/reference/ufuncs.html>),
but does anyone know of code that relies on them and would be impacted by
the change?

If you have thoughts about which ufunc features need to be preserved,
please join the conversation in gh-19252.

Thanks!
Matt

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