Reflected arithmetic binary ops don't accept `list` array-likes
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
Research direction
Start by locating the reflected arithmetic operator annotations for NumPy scalar types and the type-checker tests covering array-like operands. Reproduce the [2] / np.float64(1) example, then update the relevant typing behavior so the accepted runtime case is accepted by type-checkers and add or adjust a regression test.
Written by the indexing model from the issue text.
Description
e.g. [2] / np.float64(1) is rejected by type-checkers, but accepted at runtime.
- Dominant language
- Python
- Stars
- 79
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
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- Open a pull request that references the issue number.
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