`mean` method is incomplete / truncated
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 82/100
- Issue type
- Bug
- Clarity
- Clearly specified
- Activity status
- Active
- Tech stack
- python
- Domain
- machine-learning
Research direction
Open leanpass/tensor.py and compare the incomplete mean method with the working sum implementation in the same file. Complete the backward closure analogously to sum, then return the new Tensor so callers no longer get None. Exercise mean on a small Tensor to confirm it runs without runtime errors.
Written by the indexing model from the issue text.
Description
File: leanpass/tensor.py
The mean implementation in leanpass/tensor.py ends abruptly after defining the backward closure, leaving the method without a proper return statement and without completing the backward logic. This results in a None return and runtime errors when mean is used. Finish the implementation analogous to sum and ensure the method returns the new Tensor.
Filed automatically by ai-issue-scan.
- Dominant language
- Python
- Stars
- 16
- Forks
- 1
- Avg merge
- 2d 8h
- Merged PRs (30d)
- 5
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing 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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