JuliaGraphs / JuliaGraphs/Graphs.jl
Test correctness against networkx
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Julia
- Stars
- 538
- Forks
- 128
- Avg merge
- 10h 25m
- Merged PRs (30d)
- 2
Description
It wouldn't be so hard to set up PythonCall in the test suite and test correctness of most algorithms against their Python counterpart
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 reviewing the existing test suite and the algorithms it covers, then investigate how PythonCall can invoke the Python networkx counterpart. Done means the relevant algorithm tests compare Julia results with networkx results and report correctness differences.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, python
- Domain
- testing-qa
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100