Assertive equality for match rates <100%
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- Dominant language
- Python
- Stars
- 47
- Forks
- 0
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 7
Description
In some cases, one might be interested in asserting that tables are "equal" under some match rates < 100%. In that case, the tables are of course, no longer equal. In my case, there is data coming from two different streams that should match, but doesn't to 100%, so I'd like to assert it matches at least x%,
I'm not sure yet whether other projects have such a use case as well, but we can use this issue to monitor and discuss it.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue does not name any files, tests, or entry points. Begin by locating the existing table-comparison assertion API, then clarify the intended match-rate behavior and acceptance criteria before implementation; done means a defined way to assert a configurable minimum match percentage.
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Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100