RFC: update `full` to accept 0D arrays for `fill_value`
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 30/100
Research direction
Start by reviewing the linked Array API specification for full and the reported array_api_strict behavior for a 0D fill_value. The discussion needs to establish whether the standard should permit 0D arrays and how output dtype rules should work; done means the RFC reaches a decision and the specification reflects it if accepted.
Written by the indexing model from the issue text.
Description
According to the current standard, the fill_value of full must be a Python scalar.
full(shape: int | Tuple[int, ...], fill_value: bool | int | float | complex, *, dtype: dtype | None = None, device: device | None = None) → array[¶](https://data-apis.org/array-api/latest/API_specification/generated/array_api.full.html#array_api.full)
Are 0d arrays allowed? This usage seems common so that the dype of the output is determined by the dtype of the fill_value. That's what happens in array_api_strict, for instance.
xp.full(1, xp.asarray(1.0, dtype=xp.float32))
# Array([1.], dtype=array_api_strict.float32)
- Dominant language
- Python
- Stars
- 281
- Forks
- 52
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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