MLX compatibility: Constants, Datatypes and Array Attributes
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Active
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start with the Constants section of the issue and run the listed nodes in array_api_tests/test_constants.py to confirm the current MLX results. Review the Datatypes and Array Attributes scope named in the title; the work is complete when the relevant compatibility entries and their tests have passing results.
Written by the indexing model from the issue text.
Description
Constant
| Array API | MLX analog | status | test node | result |
|---|---|---|---|---|
e |
mx.e |
exact | array_api_tests/test_constants.py::test_e |
pass |
inf |
mx.inf |
exact | array_api_tests/test_constants.py::test_inf |
pass |
nan |
mx.nan |
exact | array_api_tests/test_constants.py::test_nan |
pass |
newaxis |
mx.newaxis |
exact | array_api_tests/test_constants.py::test_newaxis |
pass |
pi |
mx.pi |
exact | array_api_tests/test_constants.py::test_pi |
pass |
- Dominant language
- Python
- Stars
- 131
- Forks
- 49
- Avg merge
- 2d 8h
- Merged PRs (30d)
- 6
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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