DOC: identify smaller datasets to plug into documentation examples
- Dominant language
- Python
- Stars
- 791
- Forks
- 451
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 4
Description
Some of the code examples in the ESA modules are being skipped for testing as they are pulling largish datasets. It would be wonderful to identify much smaller datasets to include the examples in the testing. (Follow-up for comments in https://github.com/astropy/astroquery/pull/1970#issuecomment-1217958718)
cc @jespinosaar
Contributor guide
Research direction
Start by reviewing the ESA module documentation examples and the follow-up discussion in PR #1970. Identify which examples currently pull large datasets, then find smaller replacements that preserve the examples' purpose and can be exercised during testing. Done means the smaller datasets are identified and the affected examples can be included in documentation tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100