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TYP: inner shape-typing and transparent dtypes - #31133
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This was referenced Apr 4, 2026
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numpy.innerwas effectively untyped, because doing so would require some tricky shape-typing acrobatics.I finally got around to it, and added shape-typing support for mixed 1d and 2d inputs, overloads for pure-python 1d array-likes (i.e. flat sequences) with mixed scalar-types, and special-casing for object dtypes.
Those weird first two
_ArrayJustNDoverloads that haveNeverin their input shape types are workarounds for mypy and pyright, which (still) don't treat overloads as dictated by the typing spec (grumble).AI Disclosure
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