source'<__array_function__ internals>':source unavailable"
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- Dominant language
- Python
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Description
we use the code
_mapper=umap.UMAP().fit(fmnist.data)_
then return"could not load source'<__array_function__ internals>':source unavailable"
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.
Research direction
Start by reproducing the reported `umap.UMAP().fit(fmnist.data)` call and recording the Python and dependency versions involved. Trace the source of the `__array_function__` source-unavailable error; done means the fitting call completes without that error and the relevant environment details are documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100