pydata / pydata/sparse

Investigate `complex` dtype failure.

Open
#818 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
668
Forks
141
Avg merge
2d 8h
Merged PRs (30d)
4

Description

          I wonder about this weird issue in Python 3.11 that occurs sometimes for complex dtype...

Originally posted by @mtsokol in https://github.com/pydata/sparse/issues/815#issuecomment-2503534924

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No file, test, or entry point is named. Start by reproducing the reported complex-dtype failure under Python 3.11 and narrow down when it occurs in the sparse array workflow. Done means the failure is characterized and its cause or a reproducible test case is recorded.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.