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improve shape-typing and returned dtypes in `numpy._core.numeric`

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
45/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
numpy, python
Domain
developer-experience

Research direction

Start in the typing stubs for numpy._core.numeric and review the listed functions, beginning with the smaller shape-typing or dtype-only items. Compare each function's current annotations with its intended shape and returned-dtype behavior; done means the checklist items have accurate annotations across the named functions.

Written by the indexing model from the issue text.

Description

stubs: Enhancement topic: shape-typing
  • ones and full
  • zeros_like, ones_like, and full_like
  • count_nonzero (only dtypes)
  • argwhere (only shape-typing)
  • correlate and convolve (only dtypes)
  • cross
  • outer (only dtypes)
  • tensordot
  • roll
  • rollaxis
  • moveaxis
  • indices
  • identity
  • isclose (only shape-typing)
  • astype (only dtypes)
Dominant language
Python
Stars
79
Forks
8
No merged PRs in 30d

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