ml-opensource / ml-opensource/RatingBar
StepSize precision issue
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Java
- Stars
- 21
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
REMINDER TO SELF:
currently setting a rating bar with a stepsize of .1 returns a mod of .09999
TODO:
make step size mod a tolerance based one, so if mod is within 10 - 20% of stepSize just set mod to 0.
Contributor guide
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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 locating the rating bar's step-size and modulo calculation, then reproduce the reported behavior with a step size of .1. Adjust the behavior so the modulo is treated as zero within the requested tolerance, and verify that the result no longer returns approximately .09999.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- mobile-dev
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100