JuliaGPU / JuliaGPU/KernelAbstractions.jl
Codecov failure
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 523
- Forks
- 88
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 25
Description
To address the 0% code coverage, you main need to follow the steps outlined in https://discourse.julialang.org/t/psa-new-version-of-codecov-action-requires-additional-setup/109857 to use a Codecov token for report upload
Contributor guide
No contributing guide indexed for this repository
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 with the linked GitHub Actions run, especially step 13, and read the linked Julia Discourse guidance on the Codecov action's token setup. Done means the workflow can upload coverage successfully and no longer reports 0% coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- github-actions, julia
- Domain
- ci-cd, testing-qa
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100